DocumentCode
323378
Title
Methods of eliminating flat phenomenon during BP working
Author
Wang, Kejun ; Jin, Hongzhang ; Li, Guobin
Author_Institution
Dept. of Autom. Control, Harbin Eng. Univ., China
Volume
1
fYear
1997
fDate
28-31 Oct 1997
Firstpage
453
Abstract
The measures for eliminating flat phenomenon are studied from several aspects. These aspects are activation function, the total input of neurons, the choice of activation functions, the adaptive learning of activate characteristic of neurons, and the choice of initial weights
Keywords
adaptive systems; backpropagation; minimisation; neural nets; transfer functions; BP working; activate characteristic; activation function; activation functions; adaptive learning; backpropagation; flat phenomenon elimination; initial weights; neuron input; Automatic control; Error correction; Feedforward neural networks; Feeds; Gain measurement; Multi-layer neural network; Neural networks; Neurons; Tiles; Weight measurement;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-4253-4
Type
conf
DOI
10.1109/ICIPS.1997.672822
Filename
672822
Link To Document