DocumentCode
2516571
Title
A new learning method for multilayered cellular neural networks
Author
Mizutani, Hikaru
Author_Institution
Dept. of Electr. Eng., Shonan Inst. of Technol., Fujisawa, Japan
fYear
1994
fDate
18-21 Dec 1994
Firstpage
195
Lastpage
200
Abstract
Multilayered neural networks may provide an effective way to make general associative neural networks but it is difficult to fabricate such a network. So multilayered CNNs are important. A new mapping method and a modified backpropagation method for the multilayered CNN is presented
Keywords
backpropagation; cellular neural nets; feedforward neural nets; multilayer perceptrons; associative neural networks; learning method; mapping method; modified backpropagation method; multilayered cellular neural networks; Backpropagation algorithms; Cellular neural networks; Computer networks; Equations; Learning systems; Multi-layer neural network; Neural networks; Neurons; Sparse matrices; Training data;
fLanguage
English
Publisher
ieee
Conference_Titel
Cellular Neural Networks and their Applications, 1994. CNNA-94., Proceedings of the Third IEEE International Workshop on
Conference_Location
Rome
Print_ISBN
0-7803-2070-0
Type
conf
DOI
10.1109/CNNA.1994.381680
Filename
381680
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