DocumentCode :
1271332
Title :
Convergence of back-propagation in neural networks using a log-likelihood cost function
Author :
Holt, M.J.J. ; Semnani, S.
Author_Institution :
Dept. of Electron. & Electr. Eng., Loughborough Univ. of Technol., UK
Volume :
26
Issue :
23
fYear :
1990
Firstpage :
1964
Lastpage :
1965
Abstract :
A variation of the back-propagation algorithm is described, using a log-likelihood cost function. Appropriate choices of learning parameters are discussed. An example is given where the range of initial weights leading to proper convergence is increased, and the number of iterations required is significantly reduced.
Keywords :
convergence; neural nets; back-propagation algorithm; convergence of back-propagation; initial weights; iterations reduction; log-likelihood cost function; neural networks;
fLanguage :
English
Journal_Title :
Electronics Letters
Publisher :
iet
ISSN :
0013-5194
Type :
jour
DOI :
10.1049/el:19901270
Filename :
59526
Link To Document :
بازگشت