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Soil pore identification with the adaptive fuzzy C-means method based on computed tomography images 预览
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作者 Yue Zhao Qiaoling Han +1 位作者 Yandong Zhao Jinhao Liu 《林业研究:英文版》 CAS CSCD 2019年第3期1043-1052,共10页
The complex geometry and topology of soil is widely recognised as the key driver in many ecological processes. X-ray computed tomography (CT) provides insight into the internal structure of soil pores automatically an... The complex geometry and topology of soil is widely recognised as the key driver in many ecological processes. X-ray computed tomography (CT) provides insight into the internal structure of soil pores automatically and accurately. Until recently, there have not been methods to identify soil pore structures. This has restricted the development of soil science, particularly regarding pore geometry and spatial distribution. Through the adoption of the fuzzy clustering theory and the establishment of pore identification rules, a novel pore identification method is described to extract pore structures from CT soil images. The robustness of the adaptive fuzzy C-means method (AFCM), the adaptive threshold method, and Image-Pro Plus tools were compared on soil specimens under different conditions, such as frozen, saturated, and dry situations. The results demonstrate that the AFCM method is suitable for identifying pore clusters, especially tiny pores, under various soil conditions. The method would provide an optional technique for the study of soil micromorphology. 展开更多
关键词 CT soil IMAGES FUZZY C-MEANS FUZZY clustering theory PORE IDENTIFICATION rule
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A Fuzzy Logic-Based Method for Risk Assessment of Bridges during Construction
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作者 Jin Cheng Mingsai Xu Zhengrong Chen 《哈尔滨工业大学学报:英文版》 EI CAS 2019年第1期1-10,共10页
There are many potential sources of risks which may cause bridge failures and result in numerous economic and human losses during the construction of bridges. Therefore, risk assessment for bridges during construction... There are many potential sources of risks which may cause bridge failures and result in numerous economic and human losses during the construction of bridges. Therefore, risk assessment for bridges during construction should be taken rigorously to avert bridge failures and casualties. This article presents a fuzzy logic-based method which integrates the fuzzy analytical hierarchy process (FAHP) method based on a 3-point scale, fuzzy logic, and fuzzy set theory into a single synthetic method. In this method, the FAHP method based on a 3-point scale was used to identify and rank diverse risk factors, and fuzzy logic and fuzzy set theory were used to process inaccurate datasets including non-statistical information. After the concept and procedure of the FAHP method based on a 3-point scale were demonstrated, the proposed fuzzy logic-based method was used to perform risk assessment on the Aizhai Suspension Bridge with a main span length of 1 176 m in China. The results show that the proposed method can more effectively carry out risk assessment of bridges during construction. 展开更多
关键词 ANALYTICAL HIERARCHY process risk assessment FUZZY logic FUZZY CONSISTENT matrix bridge construction
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Multi-robot hunting strategy based on FIS and artificial immune algorithm 预览
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作者 段勇 Huang Xiao 《高技术通讯:英文版》 CAS 2019年第1期57-64,共8页
A combination strategy of multi robot hunting in dynamic environment based on a fuzzy inference system (FIS) and artificial immune algorithm is proposed. By analyzing relative relation of hunters and escaper, abstract... A combination strategy of multi robot hunting in dynamic environment based on a fuzzy inference system (FIS) and artificial immune algorithm is proposed. By analyzing relative relation of hunters and escaper, abstract data is gathered to describe the relative location and relative motion state of the robots, which in turn forms the beginning stage of the fuzzy rule. The artificial immune algorithm optimizes and generates the rule data base and adaptive design considers factors in measuring the hunting efficiency. The optimized rules are applied to the hunting task and the results show that the algorithm can effectively actualize hunting of multiple mobile robots. 展开更多
关键词 MULTI-ROBOT HUNTING FUZZY INFERENCE system (FIS) artificial immunity FUZZY RULE database
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基于模糊自适应算法的航天器姿态控制 预览
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作者 周湛杰 王新生 王岩 《电机与控制学报》 EI CSCD 北大核心 2019年第2期123-128,共6页
在研究航天器飞行姿态控制问题上,为避免大范围跟踪时出现奇点情况,采用欧拉参数四元数来对刚体航天器的姿态进行描述。基于自适应控制算法设计航天器姿态稳定控制的控制器,将扰动力矩考虑到自适应控制率的设计过程中,并结合模糊算法进... 在研究航天器飞行姿态控制问题上,为避免大范围跟踪时出现奇点情况,采用欧拉参数四元数来对刚体航天器的姿态进行描述。基于自适应控制算法设计航天器姿态稳定控制的控制器,将扰动力矩考虑到自适应控制率的设计过程中,并结合模糊算法进行参数的在线优化处理。利用李雅普诺夫稳定性理论证明控制系统的稳定性及在有限时间内的收敛性,该控制器的参数易于调节和实现,且由于没有对航天器的动力学方程进行线性化处理,故极大程度上保证了该控制系统的控制精确度。仿真结果表明,当存在外部干扰力矩和参数抖动情况时,所设计的姿态控制器具有良好的稳定性。 展开更多
关键词 姿态控制 模糊 自适应 李雅普诺夫稳定性
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基于模糊灰色综合评价的关键航材选取算法研究 预览
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作者 张作刚 宋大勇 +1 位作者 周伟 韩玉 《舰船电子工程》 2019年第1期114-117,共4页
论文力求研究一种科学算法,能从数万种航材中选取出少部分关键航材,为决策者提供帮助。文中将灰色理论和模糊综合评价相结合,建立一种模糊灰色综合评价的方法,对航材关键性进行科学有效的评价。首先应用灰色理论确定评价灰类的等级、灰... 论文力求研究一种科学算法,能从数万种航材中选取出少部分关键航材,为决策者提供帮助。文中将灰色理论和模糊综合评价相结合,建立一种模糊灰色综合评价的方法,对航材关键性进行科学有效的评价。首先应用灰色理论确定评价灰类的等级、灰数和白化权函数,计算灰色统计量并构造模糊隶属度矩阵,再用模糊综合评价方法计算模糊评判矩阵,根据最大隶属度原则判定航材的关键性。 展开更多
关键词 灰色 模糊 综合评价 关键航材
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机器人自适应模糊阻抗控制方法 预览
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作者 徐天雄 刁燕 +1 位作者 罗华 杨少令 《机械工程师》 2019年第1期84-87,共4页
针对机械臂在未知环境或环境参数存在变化的情况下无法有效跟踪目标接触力,提出一种在线调节参考轨迹自适应阻抗控制算法,该方法能够实现精确力控制,并保证机械臂系统的运动稳定。根据力误差信息调整参考轨迹以实现力跟踪。同时引入模... 针对机械臂在未知环境或环境参数存在变化的情况下无法有效跟踪目标接触力,提出一种在线调节参考轨迹自适应阻抗控制算法,该方法能够实现精确力控制,并保证机械臂系统的运动稳定。根据力误差信息调整参考轨迹以实现力跟踪。同时引入模糊调整器实时调整控制算法参数,优化机械臂运动性能。以RRR型三自由度机械臂为例对算法进行仿真验证。仿真结果表明,该方法提高了力控制精度与动态响应,其自适应算法有效增强了机械臂在与外界环境接触时对接触环境参数变换的鲁棒性。 展开更多
关键词 力跟踪 阻抗控制 自适应 模糊 未知环境
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Parameter Optimization of Interval Type-2 Fuzzy Neural Networks Based on PSO and BBBC Methods 预览
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作者 Jiajun Wang Tufan Kumbasar 《自动化学报:英文版》 CSCD 2019年第1期247-257,共11页
Interval type-2 fuzzy neural networks(IT2FNNs)can be seen as the hybridization of interval type-2 fuzzy systems(IT2FSs) and neural networks(NNs). Thus, they naturally inherit the merits of both IT2 FSs and NNs. Althou... Interval type-2 fuzzy neural networks(IT2FNNs)can be seen as the hybridization of interval type-2 fuzzy systems(IT2FSs) and neural networks(NNs). Thus, they naturally inherit the merits of both IT2 FSs and NNs. Although IT2 FNNs have more advantages in processing uncertain, incomplete, or imprecise information compared to their type-1 counterparts, a large number of parameters need to be tuned in the IT2 FNNs,which increases the difficulties of their design. In this paper,big bang-big crunch(BBBC) optimization and particle swarm optimization(PSO) are applied in the parameter optimization for Takagi-Sugeno-Kang(TSK) type IT2 FNNs. The employment of the BBBC and PSO strategies can eliminate the need of backpropagation computation. The computing problem is converted to a simple feed-forward IT2 FNNs learning. The adoption of the BBBC or the PSO will not only simplify the design of the IT2 FNNs, but will also increase identification accuracy when compared with present methods. The proposed optimization based strategies are tested with three types of interval type-2 fuzzy membership functions(IT2FMFs) and deployed on three typical identification models. Simulation results certify the effectiveness of the proposed parameter optimization methods for the IT2 FNNs. 展开更多
关键词 BIG bang-big crunch (BBBC) INTERVAL type-2 fuzzy NEURAL networks (IT2FNNs) parameter OPTIMIZATION particle SWARM OPTIMIZATION (PSO)
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Prospectivity modeling of porphyry copper deposits:recognition of efficient mono-and multi-element geochemical signatures in the Varzaghan district,NW Iran
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作者 Reza Ghezelbash Abbas Maghsoudi Mehrdad Daviran 《中国地球化学学报:英文版》 EI CAS CSCD 2019年第1期131-144,共14页
The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-el... The Varzaghan district at the northwestern margin of the Urumieh–Dokhtar magmatic arc, is considered a promising area for the exploration of porphyry Cu deposits in Iran. In this study we identified mono-and multi-element geochemical anomalies associated with Cu–Au–Mo–Bi mineralization in the central parts of the Varzaghan district by applying the concentration–area fractal method. After mono-element geochemical investigations, principal component analysis was applied to ten selected elements in order to acquire a multi-element geochemical signature based on the mineralization-related component. Quantitative comparisons of the obtained fractal-based populations were carried out in accordance with known Cu occurrences using Student’s t-values. Then,significant mono-and multi-element geochemical layers were separately combined with related geologic and structural layers to generate prospectivity models, using the fuzzy GAMMA approach. For quantitative evaluation of the effectiveness of different geochemical signatures in final prospectivity models, a prediction-area plot was adapted. The results show that the multi-element geochemical signature of principal component one(PC1) is more effective than mono-element layers in delimiting exploration targets related to porphyry Cu deposits. 展开更多
关键词 GEOCHEMICAL signature Concentration–area(C–A) fractal Principal component analysis(PCA) Student’s t-value Fuzzy mineral prospectivity modeling(MPM) Prediction–area(P–A) PLOT
A Sliding Mode Approach to Enhance the Power Quality of Wind Turbines Under Unbalanced Voltage Conditions 预览
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作者 Mohammad Javad Morshed Afef Fekih 《自动化学报:英文版》 CSCD 2019年第2期566-574,共9页
An integral terminal sliding mode-based control design is proposed in this paper to enhance the power quality of wind turbines under unbalanced voltage conditions. The design combines the robustness, fast response, an... An integral terminal sliding mode-based control design is proposed in this paper to enhance the power quality of wind turbines under unbalanced voltage conditions. The design combines the robustness, fast response, and high quality transient characteristics of the integral terminal sliding mode control with the estimation properties of disturbance observers. The controller gains were auto-tuned using a fuzzy logic approach.The effectiveness of the proposed design was assessed under deep voltage sag conditions and parameter variations. Its dynamic response was also compared to that of a standard SMC approach.The performance analysis and simulation results confirmed the ability of the proposed approach to maintain the active power,currents, DC-link voltage and electromagnetic torque within their acceptable ranges even under the most severe unbalanced voltage conditions. It was also shown to be robust to uncertainties and parameter variations, while effectively mitigating chattering in comparison with the standard SMC. 展开更多
关键词 DOUBLY fed induction generators(DFIG) fuzzy APPROACH integral terminal sliding mode control(ITSMC) OBSERVER power quality voltage unbalances wind turbines
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基于四表集抄的用电信息采集系统研究
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作者 邓裕东 谢国荣 +1 位作者 林永春 叶坤荣 《电子测量技术》 2019年第1期21-26,共6页
在用电信息采集系统的基础上,实现水、气、热的信息采集,对于构建智慧城市具有重要意义。提出了基于四表集抄的用电信息采集系统。首先提出了用电信息采集系统的架构及电、水、气、热的通信技术。然后,对构建四表集抄系统的方案进行了研... 在用电信息采集系统的基础上,实现水、气、热的信息采集,对于构建智慧城市具有重要意义。提出了基于四表集抄的用电信息采集系统。首先提出了用电信息采集系统的架构及电、水、气、热的通信技术。然后,对构建四表集抄系统的方案进行了研究,对四表集抄的采集方案、可行性分析、组网技术及四表集抄技术和系统的功能进行了分析,并提出采用模糊层次分析法对构建的四表集抄系统进行综合评分。最后,在福建某小区进行四表集抄系统的建设,并进行经济效益分析,采用模糊综合评价方法,对各个指标进行权重求取,最后进行综合评分,评分结果显示,改造后的四表集抄系统相比于改造前性能有了很大提升,验证了四表集抄系统的实用性。 展开更多
关键词 四表集抄 模糊 层次分析法 信息 采集
基于动态T-S模糊控制的视觉目标跟随
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作者 郑晶翔 曹博 +1 位作者 毕树生 杨东升 《哈尔滨工业大学学报》 EI CAS CSCD 北大核心 2019年第1期178-183,共6页
针对基于传统线性控制律的移动机器人视觉目标跟随系统的角度误差控制无法满足高效和快速的要求,进而容易丢失目标的问题,提出基于动态T-S模糊控制的视觉跟随方法.利用HOG算法检测目标,并结合摄像机模型获取目标位置向量,在T-S模糊控制... 针对基于传统线性控制律的移动机器人视觉目标跟随系统的角度误差控制无法满足高效和快速的要求,进而容易丢失目标的问题,提出基于动态T-S模糊控制的视觉跟随方法.利用HOG算法检测目标,并结合摄像机模型获取目标位置向量,在T-S模糊控制律的基础上进行动态化处理,进一步提高角度误差收敛的响应速度.MATLAB仿真表明:角度误差的收敛时间小于0.4s,改进的模糊控制可以有效提高角度误差的响应速度,缩短角度误差收敛的时间,使得跟随系统具有较好的快速性和适应性.在移动机器人平台上进行跟随实验,得到的角度误差收敛时间也小于0.5s.基于动态T-S模糊控制的移动机器人视觉跟随系统对角度误差能够快速响应并达到收敛,进而有效防止跟随目标的丢失. 展开更多
关键词 视觉检测 HOG特征 T-S模糊 移动机器人 目标跟随
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Study on Multi-variables Decoupled Fuzzy Controller for Confined Pig House in Northern China 预览
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作者 Shen Wei-zheng Zhang Si-yuan +4 位作者 Yin Yan-ling Zhang Yu Wang Run-tao Yu Hai-jiao Nagi Eltieb 《东北农业大学学报:英文版》 CAS 2019年第1期73-85,共13页
In winter, the confined pig house of northern China is severe. The environment variables are nonlinear, time-varying and coupled, which seriously affect the health of pigs and the qualities of the meat. In order to so... In winter, the confined pig house of northern China is severe. The environment variables are nonlinear, time-varying and coupled, which seriously affect the health of pigs and the qualities of the meat. In order to solve the problem multi-variables coupling, a multi-variables decoupled fuzzy logic control method was proposed. Two fuzzy logic controllers were designed based on fuzzy logic theory. The fans, heaters and humidifiers were used to control temperature, humidity and ammonia. The reductions of temperature and humidity caused by ventilating were compensated by heaters and humidifiers respectively which realized the multivariables decoupling. The proposed methods were validated through theoretical, experimental and simulation analysis. The results suggested that the methods were able to regulate the confined pig house environment effectively. In addition, comparing to the manual regulation, the proposed methods could reduce 19% power consumption as well. 展开更多
关键词 PIG house environment fuzzy CONTROL variable DECOUPLING environmental CONTROL
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Evaluation of Farmland Drainage Water Quality by Fuzzy–Gray Combination Method 预览
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作者 Xiaoling Wang Songmin Li +2 位作者 Yuling Yan Xiaotong Zheng Fuchao Zhang 《天津大学学报:英文版》 EI CAS 2019年第1期91-100,共10页
The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluatio... The complex relationships between indicators and water conditions cause fuzzy and gray uncertainties in evaluation of water quality. Compared to conventional single-factor evaluation methods, the combination evaluation method can consider these two uncertainties to produce more objective and reasonable evaluation results. In this paper, we propose a combination evaluation method with two main parts:(1) the use of fuzzy comprehensive evaluation and gray correlation analysis as submodels with which to consider the fuzzy and gray uncertainties and (2) the establishment of a combination model based on minimum bias squares. In addition, using this method, we evaluate the water quality of a ditch in a typical rice–wheat system of Yixing city in the Taihu Lake Basin during three rainfall events. The results show that the ditch water quality is not good and we found the chemical oxygen demand to be the key indicator that aff ects water quality most signifi cantly. The proposed combination evaluation method is more accurate and practical than single-factor evaluation methods in that it considers the uncertainties of fuzziness and grayness. 展开更多
关键词 Combination EVALUATION of water quality FUZZY comprehensive EVALUATION METHOD GRAY correlation analysis METHOD FARMLAND DITCH Key indicator
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融合应用网络中模糊目标计算机制的研究 预览
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作者 余庚 《舰船电子工程》 2019年第2期35-37,共3页
论文针对融合应用网络中因不可预测的外界因素对信标发起的影响,进而导致其向全局广播伪信息引发了目标计算错误的情形,提出一种目标计算机制。文中首先对目标计算机制进行可行性分析,并结合融合网络目标模糊特征建立计算模型。其次,引... 论文针对融合应用网络中因不可预测的外界因素对信标发起的影响,进而导致其向全局广播伪信息引发了目标计算错误的情形,提出一种目标计算机制。文中首先对目标计算机制进行可行性分析,并结合融合网络目标模糊特征建立计算模型。其次,引入参数用于甄别异常信标和筛查伪数据。然后构建模糊目标计算算法。最后在模拟环境中搭建测试模型,通过调整呼损距离和异常信标规模来考察本文研究算法相对于传统研究的优势。所收集的实验数据表明,模糊目标计算机制对信标性能的偏好度最弱,对模糊目标评估的贡献度最高。 展开更多
关键词 融合 模糊 计算 优势 测试
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模糊BP神经网络在军人伤亡保险理赔鉴定中的应用 预览
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作者 刘辉 李仁传 《保险职业学院学报》 2019年第1期55-61,共7页
伤亡性质鉴定意见是影响军人伤亡保险理赔的重要因素,伤亡性质鉴定错误将直接侵害伤亡军人、风险共担军人、以及承保军人伤亡附加险的保险公司利益。新作战环境下长期艰苦的备战使得军人因战、因公、因病的伤亡性质趋于复杂化和模糊化,... 伤亡性质鉴定意见是影响军人伤亡保险理赔的重要因素,伤亡性质鉴定错误将直接侵害伤亡军人、风险共担军人、以及承保军人伤亡附加险的保险公司利益。新作战环境下长期艰苦的备战使得军人因战、因公、因病的伤亡性质趋于复杂化和模糊化,而现行以军内各级卫生、政治部门出具的伤亡鉴定意见直接定性的方式极易产生口径不一、鉴定错误的情况。文章尝试结合模糊数学和人工神经网络的思想,构建具有自学习能力、容错能力、以及处理非线性关系的模糊BP神经网络模型,解决新作战环境下军人伤亡性质鉴定的模糊性、复杂性问题,从量化的角度提高伤亡性质鉴定的准确性。研究发现,通过伤亡时点等客观环境类和行为属性等主观行为类8项指标可以充分衡量军人伤亡事件的性质;采用模糊隶属度的转换,构建8×10×1的模糊BP神经网络结构,可以完成军人伤亡性质的精准鉴定;伤亡性质的模糊隶属度可以量化军人病伤、公伤或战伤的属性程度。 展开更多
关键词 军人伤亡保险 伤亡鉴定 模糊 BP神经网络
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Quantitative analysis of planation surfaces of the upper Yangtze River in the Sichuan-Yunnan Region, Southwest China
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作者 Fenliang LIU Hongshan GAO +2 位作者 Baotian PAN Zongmeng LI Huai SU 《地球科学前沿:英文版》 SCIE CAS CSCD 2019年第1期55-74,共20页
Identification of the planation surfaces (PSs)is key for utilizing them as a reference in studying the long- term geomorphological evolution of the Upper Yangtze River Basin in the Sichuan-Yurman region,Southwest Chin... Identification of the planation surfaces (PSs)is key for utilizing them as a reference in studying the long- term geomorphological evolution of the Upper Yangtze River Basin in the Sichuan-Yurman region,Southwest China.Using a combined method of DEM-based fuzzy logic and topographic and fiver profiles analysis and based on a comprehensive analysis of four morphometfic parameters:slope,curvature,terrain raggedness index, and relative height,we established the relevant fuzzy membership functions,and then calculated the membership degree (MD)of the study area.Results show that patches with a MD>80% and an area>0.4 km^2 correspond well to the results of Google Earth and field investigation,representing the PS remnants.They consist of 1764 patches with an altitude,area,mean slope,and relief of mostly 2000-2500 m above sea level (asl),0-10 km^2,4°-9°,0-500 m,respectively,covering 9.2% of the study area's landscape,dipping to southeast,decreasing progressively from northwest to southeast in altitude,and with no clear relation between each patch's altitude and slope,or relief.All these results indicate that they are remnants of once regionally continuous PSs which were deformed by both the lower crust flow and the faults in upper crust,and dissected by the network of Upper Yangtze River.Additionally,topographic and river profiles analysis show that three PSs (PS1-PS3)well developed along the main valleys in the Yongren-Huili region, indicating several phases of uplift then planation during the Late Cenozoic era.Based on the incision amount deduced from projection of relict river profiles on PSs, together with erosion rates,breakup times of the PS 1,PS2,and PS3 were estimated to be 3.47 Ma,2.19 Ma,and 1.45 Ma,respectively,indicating appearance of modem Upper Yangtze River valley started between the Pliocene to early Pleistocene. 展开更多
关键词 planation surface fuzzy logic topographic ANALYSIS RIVER profile ANALYSIS Upper YANGTZE RIVER SOUTHWEST China
Intelligent hybrid power generation system using new hybrid fuzzy-neural for photovoltaic system and RBFNSM for wind turbine in the grid connected mode
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作者 Alireza REZVANI Ali ESMAEILY +1 位作者 Hasan ETAATI Mohammad MOHAMMADINODOUSHAN 《能源前沿:英文版》 CSCD 2019年第1期131-148,共18页
Photovoltaic(PV)generation is growing increasingly fast as a renewable energy source.Nevertheless,the drawback of the PV system is intermittent because of depending on weather conditions.Therefore,the wind power can b... Photovoltaic(PV)generation is growing increasingly fast as a renewable energy source.Nevertheless,the drawback of the PV system is intermittent because of depending on weather conditions.Therefore,the wind power can be considered to assist for a stable and reliable output from the PV generation system for loads and improve the dynamic performance of the whole generation system in the grid connected mode.In this paper,a novel topology of an intelligent hybrid generation system with PV and wind turbine is presented.In order to capture the maximum power,a hybrid fuzzy-neural maximum power point tracking(MPPT)method is applied in the PV system.The average tracking efficiency of the hybrid fuzzy-neural is incremented by approximately two percentage points in comparison with the conventional methods.The pitch angle of the wind turbine is controlled by radial basis function network-sliding mode(RBFNSM).Different conditions are represented in simulation results that compare the real power values with those of the presented methods.The obtained results verify the effectiveness and superiority of the proposed method which has the advantages of robustness,fast response and good performance.Detailed mathematical model and a control approach of a three-phase grid-connected intelligent hybrid system have been proposed using Matlab/Simulink. 展开更多
关键词 PHOTOVOLTAIC wind TURBINE HYBRID system fuzzy LOGIC CONTROLLER GENETIC algorithm RBFNSM
Prediction of cost and emission from Indian coal-fired power plants with C02 capture and storage using artificial intelligence techniques
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作者 Naushita SHARMA Udayan SINGH Siba Sankar MAHAPATRA 《能源前沿:英文版》 CSCD 2019年第1期149-162,共14页
Coal-fired power plants are one of the most important targets with respect to reduction of CO2 emissions.The reasons for this are that coal-fired power plants offer localized large point sources(LPS)of CO2 and that th... Coal-fired power plants are one of the most important targets with respect to reduction of CO2 emissions.The reasons for this are that coal-fired power plants offer localized large point sources(LPS)of CO2 and that the Indian power sector con tributes to roughly half of all-India CO2emissions.CO2capture and storage(CCS)can be implemented in these power plants for long-temi decarbonisation of the Indian economy.In this paper,two artificial intelligence(Al)techniques—adaptive network based fuzzy inference system(ANFIS)and multi gene genetic programming(MGGP)are used to model Indian coal-fired power plants with CO2 capture.The data set of 75 power plants take the plant size,the capture type,the load and the CO2 emission as the input and the COE and annual CO2 emissions as the output.It is found that MGGP is more suited to these applications with an R2 value of more than 99%between the predicted and actual values,as against the~96%correlation for the ANFIS approach.MGGP also gives the traditionally expected results in sensitivity analysis,which ANFIS fails to give.Several other parameters in the base plant and CO2 capture unit may be included in similar studies to give a more accurate result.This is because MGGP gives a better perspective toward qualitative data,such as capture type,as compared to ANFIS. 展开更多
关键词 carbon CAPTURE and storage power plants artificial INTELLIGENCE genetic PROGRAMMING NEURO fuzzy
Experimental investigation and adaptive neural fuzzy inference system prediction of copper recovery from flotation tailings by acid leaching in a batch agitated tank 预览
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作者 Jalil Pazhoohan Hossein Beiki Morteza Esfandyari 《矿物冶金与材料学报:英文版》 SCIE EI CAS CSCD 2019年第5期538-546,共9页
The potential of copper recovery from flotation tailings was experimentally investigated using a laboratory-mixing tank.The experiments were performed with solid weight percentages of 30wt%,35wt%,40wt% and 45wt% in wa... The potential of copper recovery from flotation tailings was experimentally investigated using a laboratory-mixing tank.The experiments were performed with solid weight percentages of 30wt%,35wt%,40wt% and 45wt% in water.The measurements revealed that adding sulfuric acid all at once to the tank rapidly increased the efficiency of the leaching process,which was attributed to the rapid change in the acid concentration.The rate of iron dissolution from tailings was less than when the acid was added gradually.The sample with 40wt% solid is recommended as an appropriate feed for the recovery of copper.The adaptive neural fuzzy system (ANFIS) was also used to predict the copper recovery from flotation tailings.The back-propagation algorithm and least squares method were applied for the training of ANFIS.The validation data was also applied to evaluate the performance of these models.Simulation results revealed that the testing results from these models were in good agreement with the experimental data. 展开更多
关键词 FLOTATION TAILINGS LEACHING copper environments adaptive neural fuzzy INFERENCE system
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Information hiding with adaptive steganography based on novel fuzzy edge identification
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作者 Sanjeev Kumar Amarpal Singh Manoj Kumar 《Defence Technology(防务技术)》 CAS CSCD 2019年第2期162-169,共8页
The evolution in communication techniques has created wide threats for crucial information transfer through a communication channel.Covert communication with steganography is a skill of concealing secret information w... The evolution in communication techniques has created wide threats for crucial information transfer through a communication channel.Covert communication with steganography is a skill of concealing secret information within cover object and hence shields the data theft over rapidly growing network.Recently,diverse steganography techniques using edge identification have been proposed in literature.Numerous methods however utilize certain pixels in the cover image for inserting edge information,resulting in significant deformation.The conventional edge detection method limits the deployment of edge detection in steganography as concealing the information would introduce some variations to the cover image.Hence inserting data in pixel areas recognized by existing conventional edge detection techniques like canny cannot ensure the recognition of the exact edge locations for the cover and stego images.In this paper,an Adaptive steganography method based on novel fuzzy edge identification is proposed.The method proposed is proficient of estimating the precise edge areas of a cover image and also ensures the exact edge location after embedding the secret message.Experimental results reveal that the technique has attained good imperceptibility compared to the Hayat Al-Dmour and Ahmed Al-Ani Edge XOR method in spatial domain. 展开更多
关键词 Information security ADAPTIVE STEGANOGRAPHY FUZZY EDGE detection PATTERN RECOGNITION
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