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在“Elsevier电子期刊”中，命中：678条，耗时：0.0369806 秒

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1.A novel hybrid methodology for short-term wind power forecasting based on adaptive neuro-fuzzy inference system

作者：Jinqiang Liu ; Xiaoru Wang ; ^{xrwang@home.swjtu.edu.cn} ; Yun Lu

关键词：Short-term wind power forecasting ; Pearson correlation coefficient ; Neural network ; Least squares support vector machine ; Adaptive neuro-fuzzy inference system ; Hybrid methodology

刊名：Renewable Energy

出版年：2017

2.Optimization of biodiesel production from Thevetia peruviana seed oil by adaptive neuro-fuzzy inference system coupled with genetic algorithm and response surface methodology

作者：Benjamin Ogaga Ighose^a ; Ibrahim A. Adeleke^a ; Mueuji Damos^a ; Hamidat Adeola Junaid^a ; Kelechi Ernest Okpalaeke^b ; Eriola Betiku^a ; ^{ebetiku@oauife.edu.ng} ; ^{ebetiku@yahoo.com}

关键词：Adaptive neuro-fuzzy inference system ; Response surface methodology ; Genetic algorithm ; Biodiesel ; Transesterification

刊名：Energy Conversion and Management

出版年：2017

3.A prediction model of ammonia emission from a fattening pig room based on the indoor concentration using adaptive neuro fuzzy inference system

作者：Qiuju Xie^a ; ^{xqj197610@163.com} ; Ji-qin Ni^b ; Zhongbin Su^c

关键词：Adaptive neuro fuzzy inference system ; Ammonia concentration ; Emissions ; Prediction ; Air quality

刊名：Journal of Hazardous Materials

出版年：2017

4.Evolutionary neuro-fuzzy system for surface roughness evaluation

作者：Ph.D. Ilija Svalina ; ^{isvalina@sfsb.hr} ; Ph.D. Goran &Scaron ; imunović ; Ph.D. Tomislav &Scaron ; arić ; Ph.D. Roberto Lujić

关键词：Surface roughness ; Cutting parameters ; Adaptive neuro-fuzzy inference system (ANFIS) ; Fuzzy inference system (FIS) ; Genetic algorithm (GA)

刊名：Applied Soft Computing

出版年：2017

5.Multi-layer architecture for adaptive fuzzy inference system with a large number of input features

作者：Mohammad Saber Iraji ; ^{iraji.ms@gmail.com} ; ^{m.iraji@golestan.pnu.ac.ir}

关键词：Adaptive fuzzy neural network ; 365-day concrete ; Takagi-sugeno ; Multi-layer ANFIS ; Limitation

刊名：Cognitive Systems Research

出版年：2017

6.Analyses of the most influential factors for vibration monitoring of planetary power transmissions in pellet mills by adaptive neuro-fuzzy technique

作者：Milo&scaron ; Milovančević ; ^{milovancevicmilos2016@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Vlastimir Nikolić ; Boban Anđelković

关键词：ANFIS ; Prediction ; Vibration ; Planetary power transmissions ; Pellet mills

刊名：Mechanical Systems and Signal Processing

出版年：2017

7.Feasibility of ANFIS towards multiclass event classification in PFBR considering dimensionality reduction using PCA

作者：Manas Ranjan Prusty^a ; ^{manas.iter144@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; T. Jayanthi^a ; Jaideep Chakraborty^a ; K. Velusamy^b

关键词：Prototype fast breeder reactor ; Adaptive neuro fuzzy inference system ; Principal component analysis ; Dimensionality reduction ; Factor analysis

刊名：Annals of Nuclear Energy

出版年：2017

8.Quantized feedback fuzzy sliding mode control design via memory-based strategy

作者：Suzhen Ran^a ; ^{ransuzhen1979@sina.com} ; Yanmei Xue^b ; ^{ymxue1@163.com} ; Bo-Chao Zheng ; ^c ; ^{zhengbochao81@126.com} ; ^{zhengbochao81@163.com} ; Zhenyou Wang^d ; ^{cencool@163.com}

关键词：Sliding mode control ; Quantization mismatch ; T-S fuzzy systems ; Adaptive neural control

刊名：Applied Mathematics and Computation

出版年：2017

9.Damage prediction for wind turbines using wireless sensor and actuator networks

作者：Maicon Melo Alves^b ; ^cAuthor Vitae ; Luci Pirmez^aAuthor Vitae ; Silvana Rossetto^aAuthor Vitae ; Flavia C. Delicato^a ; ^c ; ^{fdelicato@gmail.com}Author Vitae ; Claudio M. de Farias^aAuthor Vitae ; Paulo F. Pires^a ; ^cAuthor Vitae ; Igor L. dos Santos^aAuthor Vitae ; Albert Y. Zomaya^cAuthor Vitae

关键词：Wireless sensor and actuator networks ; Structural health monitoring ; Damage prediction ; ARIMA model ; Adaptive Neuro Fuzzy Inference System (ANFIS)

刊名：Journal of Network and Computer Applications

出版年：2017

10.Prediction of geomechanical parameters using soft computing and multiple regression approach

作者：Rajesh Singh^a ; ^{georajeshsingh@gmail.com} ; Ravi Kumar Umrao^b ; M. Ahmad^b ; M.K. Ansari^b ; L.K. Sharma^b ; T.N. Singh^b

关键词：Soft computing ; Multiple variable regression analysis ; Adaptive neuro-fuzzy inference system

刊名：Measurement

出版年：2017

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