DocumentCode
1769134
Title
Effectiveness of artificial neural network with time-varying coupling system
Author
Uwate, Yoko ; Nishio, Yusuke
Author_Institution
Dept. of Electr. & Electron. Eng., Tokushima Univ., Tokushima, Japan
fYear
2014
fDate
1-5 June 2014
Firstpage
2005
Lastpage
2008
Abstract
We have recently proposed a novel neural network structure called an “Affordable Neural Network” (AfNN), in which affordable neurons of the hidden layer are considered as the elements responsible for the robustness property as is observed in human brain function. In this study, we investigate the mechanism of learning process of the AfNN to make clear the reason of that the AfNNs can perform well for learning and generalization abilities and operate as usually against damaging neurons.
Keywords
brain; neural nets; robust control; time-varying systems; AfNN; affordable neural network; artificial neural network; generalization abilities; human brain function; learning abilities; neural network structure; neurons; robustness property; time-varying coupling system; Artificial neural networks; Biological neural networks; Fault tolerance; Fault tolerant systems; Neurons; Neuroscience; Pattern recognition;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems (ISCAS), 2014 IEEE International Symposium on
Conference_Location
Melbourne VIC
Print_ISBN
978-1-4799-3431-7
Type
conf
DOI
10.1109/ISCAS.2014.6865557
Filename
6865557
Link To Document