搜索页_ Fuzzy-neural network (FNN)

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1.An investigation of the suitability of Artificial Neural Networks for the prediction of core and local skin temperatures when trained with a large and gender-balanced database

作者：K. Michael^a ; M.D.P. Garcia-Souto^b ; ^{p.garciasouto@ucl.ac.uk} ; P. Dabnichki^c ; ^{peter.dabnichki@rmit.edu.au}

关键词：ADALINE ; adaptive linear element ; AI ; artificial intelligence ; ANN/NN ; Artificial neural network(s) ; BMI ; body mass index (body mass of the subject divided by the square of the height in m ; i.e. kg/m2) ; Epoch ; a full data cycle ; i.e. each time the network is presented with a new training pattern ; FNN ; fuzzy neural network(s) ; Logsig ; the logistic sigmoid function ; MSE ; mean squared error ; Nodes ; the interconnections between hidden layers in the neural network (equivalent to neuron connections)

刊名：Applied Soft Computing

出版年：2017

2.Measurement forecast of anomalous threshold voltages in BCD LV submicron n-MOSFETs with two artificial intelligence methods

作者：Shen-Li Chen ; ^{jackchen@nuu.edu.tw} ; Dun-Ying Shu

关键词：Bipolar-CMOS-DMOS (BCD) ; Fuzzy-neural network (FNN) ; Grey system (GS) ; Low-voltage (LV) ; Threshold voltage (Vth)

刊名：Measurement

出版年：2017

3.Prediction of hydrogen concentration in nuclear power plant containment under severe accidents using cascaded fuzzy neural networks

作者：Geon Pil Choi ; Dong Yeong Kim ; Kwae Hwan Yoo ; Man Gyun Na ; ^{magyna@chosun.ac.kr" class="auth_mail" title="E-mail the corresponding author}

关键词：CFNN ; cascaded fuzzy neural network ; FNN ; fuzzy neural network

刊名：Nuclear Engineering and Design

出版年：2016

4.Observer-based adaptive fuzzy-neural-network control for hybrid maglev transportation system

作者：Rong-Jong Wai^a ; ^{rjwai@mail.ntust.edu.tw" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Meng-Wei Chen^bAuthor Vitae ; Jing-Xiang Yao^bAuthor Vitae

关键词：Adaptive control ; Velocity-sensorless control ; Fuzzy neural network ; Hybrid electromagnet ; Linear induction motor ; Hybrid maglev transportation system

刊名：Neurocomputing

出版年：2016

5.A modified sliding mode approach for synchronization of fractional-order chaotic/hyperchaotic systems by using new self-structuring hierarchical type-2 fuzzy neural network

作者：A. Mohammadzadeh ^{ardashir_m@yahoo.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; S. Ghaemi ^{ghaemi@tabrizu.ac.ir" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Self-structuring algorithm ; Hierarchical type-2 fuzzy neural network ; Adaptive sliding mode control ; Synchronization ; Fractional-order ; Hyperchaotic systems ; Chaotic systems

刊名：Neurocomputing

出版年：2016

6.Unified granular neural networks for pattern classification

作者：D. Arun Kumar^a ; ^{arunkumar.mtech09@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Saroj K. Meher^b ; ^{saroj.meher@isibang.ac.in" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Debananda Kanhar^cAuthor Vitae ; K. Padma Kumari^a ; ^{geologymadam@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Pattern recognition ; Information granulation ; Neural networks ; Fuzzy sets ; Multiple decision system

刊名：Neurocomputing

出版年：2016

7.Application of a recurrent wavelet fuzzy-neural network in the positioning control of a magnetic-bearing mechanism

作者：Syuan-Yi Chen^a ; ^{chensy@ntnu.edu.tw" class="auth_mail" title="E-mail the corresponding author} ; ^{chensy0323@gmail.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Ying-Chih Hung^bAuthor Vitae ; Yi-Hsuan Hung^cAuthor Vitae ; Chien-Hsun Wu^dAuthor Vitae

关键词：Fuzzy Neural Network (FNN) ; Magnetic Bearing (MB) ; Particle Swarm Optimization (PSO) ; Positioning control

刊名：Computers & Electrical Engineering

出版年：2016

8.An adaptive second order fuzzy neural network for nonlinear system modeling

作者：Hong-Gui Han^a ; ^b ; ^{Rechardhan@sina.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Lu-Ming Ge^a ; ^b ; ^{geluming1992@126.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jun-Fei Qiao^a ; ^b ; ^{isibox@sina.com" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Nonlinear system modeling ; Fuzzy neural network ; Adaptive second-order algorithm ; Fast convergence

刊名：Neurocomputing

出版年：2016

9.Design of a heart rate controller for treadmill exercise using a recurrent fuzzy neural network

作者：Chun-Hao Lu^a ; Wei-Cheng Wang^a ; Cheng-Chi Tai^a ; ^{astar2.elc@gmail.com" class="auth_mail" title="E-mail the corresponding author} ; Tien-Chi Chen^b

关键词：Computer controlled treadmill ; Recurrent fuzzy neural network ; Heart rate controller ; Treadmill speed and incline ; Adjustable parameters ; On-line learning algorithm

刊名：Computer Methods and Programs in Biomedicine

出版年：2016

10.Scaffolding type-2 classifier for incremental learning under concept drifts

作者：Mahardhika Pratama^a ; ^{m.pratama@latrobe.edu.au" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Jie Lu^b ; ^{jie.lu@uts.edu.au" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Edwin Lughofer^c ; ^{edwin.lughofer@jku.at" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Guangquan Zhang^b ; ^{guangquan.zhang@uts.edu.au" class="auth_mail" title="E-mail the corresponding author}Author Vitae ; Sreenatha Anavatti^d ; ^{s.anavatti@adfa.edu.au" class="auth_mail" title="E-mail the corresponding author}Author Vitae

关键词：Fuzzy neural network ; Neural network ; Evolving system ; Concept drift ; Incremental learning

刊名：Neurocomputing

出版年：2016

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