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在“Elsevier电子期刊”中，命中：1,488条，耗时：0.0709636 秒

在所有数据库中总计命中：10,146条

1.Uniform stable radial basis function neural network for the prediction in two mechatronic processes

作者：José ; de Jesú ; s Rubio ; ^{jrubioa@ipn.mx} ; ^{rubio.josedejesus@gmail.com}Author Vitae ; Israel EliasAuthor Vitae ; David Ricardo CruzAuthor Vitae ; Jaime PachecoAuthor Vitae

关键词：Radial basis function neural network ; Stability ; Learning ; Mechatronic process

刊名：Neurocomputing

出版年：2017

2.Application of artificial neural networks to the forecasting of dissolved oxygen content in the Hungarian section of the river Danube

作者：Anita Csá ; brá ; gi^a ; ^{csabragi.anita@gmail.com} ; ^{csabragi.anita@gek.szie.hu} ; Sá ; ndor Molná ; r^a ; ^{molnar.sandor@gek.szie.hu} ; Pé ; ter Tanos^a ; ^{tanospeter@gmail.com} ; Jó ; zsef Ková ; cs^b ; ^{kevesolt@gmail.com}

关键词：ANN ; Artificial Neural Network ; CA ; CB ; CC ; CD ; Combination A ; B ; C ; D ; DO ; dissolved oxygen ; EC ; electrical conductivity ; GRNN ; General Regression Neural Network ; hydro PP ; hydro power plant ; HNPP ; Hungarian Nuclear Power Plant ; IA ; Willmott&rsquo ; s index of agreement ; MAE ; mean absolute error ; MLPNN ; Multilayer Perceptron Neural Network ; MLR ; Multivariate Linear Regression ; R2 ; coefficient of determination ; RBFNN ; Radial Basis Function Neural Network ; RF ; runoff ; rkm ; river kilometres ; RMSE ; r

刊名：Ecological Engineering

出版年：2017

3.Application of radial basis function neural network to predict soil sorption partition coefficient using topological descriptors

作者：Mohammad Reza Sabour ; ^{sabour@kntu.ac.ir} ; Saman Moftakhari Anasori Movahed

关键词：Artificial Neural Network ; Soil sorption ; Generalized Regression Neural Network (GRNN) ; Topological descriptors

刊名：Chemosphere

出版年：2017

4.Self-organization of a recurrent RBF neural network using an information-oriented algorithm

作者：Hong-Gui Han^a ; ^b ; ^{Rechardhan@sina.com}Author Vitae ; Ya-Nan Guo^a ; ^b ; ^{guoyanan@emails.bjut.edu.cn}Author Vitae ; Jun-Fei Qiao^a ; ^b ; ^{isibox@sina.com}Author Vitae

关键词：Information-oriented algorithm ; Recurrent radial basis function neural network ; Information processing strength ; Component contributions

刊名：Neurocomputing

出版年：2017

5.An improved neural network-based approach for short-term wind speed and power forecast

作者：G.W. Chang^a ; ^{wchang@ee.ccu.edu.tw} ; H.J. Lu^a ; Y.R. Chang^b ; Y.D. Lee^b

关键词：Wind speed ; Wind power ; Forecast ; Radial basis function neural network

刊名：Renewable Energy

出版年：2017

6.An adaptive trajectory tracking control of four rotor hover vehicle using extended normalized radial basis function network

作者：Rooh ul Amin^a ; ^{rooh@mail.nwpu.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Li Aijun^a ; Muhammad Umer Khan^b ; Shahaboddin Shamshirband^c ; Amirrudin Kamsin^c

关键词：Adaptive neural network control ; Extended normalized radial basis function ; Four rotor hover vehicle ; Unmodeled dynamics approximation

刊名：Mechanical Systems and Signal Processing

出版年：2017

7.Interval model updating using perturbation method and Radial Basis Function neural networks

作者：Zhongmin Deng ; Zhaopu Guo ; ^{guozhaopu@buaa.edu.cn" class="auth_mail" title="E-mail the corresponding author} ; Xinjie Zhang

关键词：Parameter variability ; Interval model updating ; Perturbation technique ; RBF neural networks

刊名：Mechanical Systems and Signal Processing

出版年：2017

8.Neural network based adaptive prescribed performance control for a class of switched nonlinear systems

作者：Li Tang ^{tangli413@hotmail.com}Author Vitae ; Jun Zhao ; ^{zhaojun@mail.neu.edu.cn}Author Vitae

关键词：Adaptive control ; Neural networks ; Prescribed performance ; Switched nonlinear systems

刊名：Neurocomputing

出版年：2017

9.Detection of micro gap weld joint by using magneto-optical imaging and Kalman filtering compensated with RBF neural network

作者：Xiangdong Gao^a ; ^{gaoxd666@126.com" class="auth_mail" title="E-mail the corresponding author} ; Yuquan Chen^a ; Deyong You^a ; Zhenlin Xiao^b ; Xiaohui Chen^b

关键词：RBF neural network ; Seam tracking ; Magneto optical imaging ; Kalman filtering ; Micro gap weld

刊名：Mechanical Systems and Signal Processing

出版年：2017

10.Prediction of heat capacities of ionic liquids using chemical structure based networks

作者：Ali Barati-Harooni^a ; ^{alibarati.2012@yahoo.com} ; Adel Najafi-Marghmaleki^a ; Amir H Mohammadi^b ; ^c ; ^d ; ^{a.h.m@irgcp.fr} ; ^{amir_h_mohammadi@yahoo.com}

关键词：Ionic liquid (IL) ; Heat capacity ; Chemical structure ; Model ; Radial basis function neural network (RBF-NN) ; Multilayer Perceptron Neural Network (MLP-NN)

刊名：Journal of Molecular Liquids

出版年：2017

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