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
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;
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
DOI :
10.1109/CNNA.1994.381680
