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在“Elsevier电子期刊”中，命中：12,949条，耗时：0.1849083 秒

在所有数据库中总计命中：76,073条

1.A modular architecture for transparent computation in recurrent neural networks

作者：Giovanni S. Carmantini^a ; ^{giovanni.carmantini@gmail.com} ; Peter beim Graben^b ; ^{peter.beim.graben@hu-berlin.de} ; Mathieu Desroches^c ; ^{mathieu.desroches@inria.fr} ; Serafim Rodrigues^a ; ^{serafim.rodrigues@plymouth.ac.uk}

关键词：Automata Theory ; Recurrent artificial neural networks ; Representation theory ; Nonlinear dynamical automata ; Neural symbolic computation ; Versatile shift

刊名：Neural Networks

出版年：2017

2.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

3.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

4.Estimating photovoltaic power generation: Performance analysis of artificial neural networks, Support Vector Machine and Kalman filter

作者：Raul V.A. Monteiro^a ; ^{raulvitoramonteiro@gmail.com} ; ^{rauldvm@terra.com.br} ; Geraldo C. Guimarã ; es^a ; ^{gcaixetag@gmail.com} ; Fabricio A.M. Moura^b ; ^{fabricio@eletrica.uftm.edu.br} ; Madeleine R.M.C. Albertini^b ; ^{rociodelpilar_21@hotmail.com} ; Marcelo K. Albertini^c ; ^{albertini@ufu.br}

关键词：Training algorithms ; Artificial neural network ; Support Vector Machine ; Kalman filter ; Photovoltaic ; Power generation

刊名：Electric Power Systems Research

出版年：2017

5.Predicting the physiological response of Tivela stultorum hearts with digoxin from cardiac parameters using artificial neural networks

作者：Dora-Luz Flores ; ^{dflores@uabc.edu.mx} ; Claudia Gó ; mez ; David Cervantes ; Alberto Abaroa ; Carlos Castro ; Rubé ; n A. Castañ ; eda-Martí ; nez

关键词：Artificial neural networks ; Cardio-activity ; Digitalis ; Digoxin ; Drug response ; Tivela stultorum

刊名：Biosystems

出版年：2017

6.The use of a non-probabilistic artificial neural network to consider uncertainties in vibration-based-damage detection

作者：Khairul H. Padil^a ; Norhisham Bakhary^a ; ^b ; ^{norhisham@utm.my" class="auth_mail" title="E-mail the corresponding author} ; Hong Hao^c

关键词：Vibration-based damage detection ; Artificial neural network ; Uncertainties ; Non-probabilistic ; Interval analysis

刊名：Mechanical Systems and Signal Processing

出版年：2017

7.Artificial Neural Networks as a powerful numerical tool to classify specific features of a tooth based on 3D scan data

作者：Stefan Raith^a ; ^{sraith@ukaachen.de} ; Eric Per Vogel^a ; Naeema Anees^a ; Christine Keul^b ; Jan-Frederik Gü ; th^b ; Daniel Edelhoff^b ; Horst Fischer^a

关键词：Artificial Neural Networks ; Digital dentistry ; 3D surface scan ; Image analysis ; Machine learning

刊名：Computers in Biology and Medicine

出版年：2017

8.H_∞ state estimation for artificial neural networks over redundant channels

作者：Sunjie Zhang^a ; ^{zhang_sunjie@usst.edu.cn}Author Vitae ; Derui Ding^aAuthor Vitae ; Guoliang Wei^aAuthor Vitae ; Yurong Liu^b ; ^cAuthor Vitae ; Fuad E. Alsaadi^cAuthor Vitae

关键词：H&infin ; state estimator ; Artificial neural networks ; Infinite distributed delays ; Redundant channels

刊名：Neurocomputing

出版年：2017

9.Boosted neural networks for improved short-term electric load forecasting

作者：A.S. Khwaja ; ^{kashaharyar@gmail.com} ; X. Zhang ; A. Anpalagan ; B. Venkatesh

关键词：Short-term electric load forecasting ; Artificial neural networks ; Ensemble neural networks ; Boosting

刊名：Electric Power Systems Research

出版年：2017

10.An unsupervised artificial neural network versus a rule-based approach for fault detection and identification in an automated assembly machine

作者：Heshan Fernando ; Brian Surgenor

关键词：Artificial neural networks ; Assembly automation ; Fault detection ; Fault identification

刊名：Robotics and Computer-Integrated Manufacturing

出版年：2017

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