DocumentCode
1853598
Title
A novel nonlinear synapse neuron model guaranteeing a global minimum-Wavelet Neuron
Author
Yamakawa, Takeshi
Author_Institution
Kyushu Inst. of Technol., Iizuka, Japan
fYear
1998
fDate
27-29 May 1998
Firstpage
335
Lastpage
336
Abstract
A novel nonlinear synapse neuron model named Wavelet Neuron is proposed, which realizes effective establishment of approximate wavelet expansion by learning instead of analytical procedure. The distinctive features of the model are guarantee of a global minimum and three decades higher speed of learning than feedforward multilayer neural networks
Keywords
neural nets; wavelet transforms; Wavelet Neuron; learning; neuron model; nonlinear synapse; speed of learning; wavelet expansion; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Multiple-Valued Logic, 1998. Proceedings. 1998 28th IEEE International Symposium on
Conference_Location
Fukuoka
ISSN
0195-623X
Print_ISBN
0-8186-8371-6
Type
conf
DOI
10.1109/ISMVL.1998.679510
Filename
679510
Link To Document