DocumentCode :
2623018
Title :
Forward generating neural network: its architecture and training
Author :
Low, T.S. ; Chao, Bi
Author_Institution :
Dept. of Electr. Eng., Nat. Univ. of Singapore, Singapore
fYear :
1991
fDate :
18-21 Nov 1991
Firstpage :
404
Abstract :
The authors discuss the forward generating neural network, a special network for solving mapping problems. Its background, characteristics, and training are introduced. The main advantages of this neural network are its rapid training and the accuracy of its output
Keywords :
learning systems; neural nets; architecture; forward generating neural network; learning systems; mapping problems; Application software; Artificial intelligence; Backpropagation; Bismuth; Chaos; Neural networks; Neurons; Tiles;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
Type :
conf
DOI :
10.1109/IJCNN.1991.170435
Filename :
170435
Link To Document :
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