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