DocumentCode
2635052
Title
A low-bit learning algorithm for digital multilayer neural networks applied to pattern recognition
Author
Nakayama, Kenji ; KATAYAMA, Hiroshi
Author_Institution
Dept. of Electr. & Comput. Eng., Kanazawa Univ., Japan
fYear
1991
fDate
18-21 Nov 1991
Firstpage
1867
Abstract
A new low-bit learning algorithm for digital multilayer neural networks applied to pattern recognition is proposed. The training can be carried out with a small number of bits. To make the neural network insensitive to noisy patterns, conditions to be satisfied by hidden layer outputs are discussed. Based on this, optimum targets are assigned to the hidden layers. Computer simulation demonstrated the efficiency of the proposed method
Keywords
learning systems; neural nets; pattern recognition; digital multilayer neural networks; low-bit learning algorithm; pattern recognition; training; Hamming distance; Hysteresis; Logistics; Multi-layer neural network; Neural networks; Pattern recognition;
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.1991.170632
Filename
170632
Link To Document