DocumentCode
1242485
Title
Generalization in multi-layer networks of Sigma-pi units
Author
Penny, W.D. ; Stonham, T.J.
Author_Institution
Dept. of Electr. Eng. & Electron., Brunel Univ., Uxbridge, UK
Volume
6
Issue
2
fYear
1995
fDate
3/1/1995 12:00:00 AM
Firstpage
506
Lastpage
508
Abstract
This paper investigates a method for predicting the generalization error that a multi-layer network of Sigma-pi units will, on average, exhibit. Theoretical values are compared with those obtained by the computer simulation of small networks learning parity and contiguity functions
Keywords
digital simulation; generalisation (artificial intelligence); multilayer perceptrons; neural nets; Sigma-pi units; computer simulation; contiguity functions; generalization error; multilayer networks; small networks learning parity; Boolean functions; Computer errors; Computer simulation; Intelligent networks; Logic circuits; Multi-layer neural network; Neural network hardware; Neural networks; Probabilistic logic; Random access memory;
fLanguage
English
Journal_Title
Neural Networks, IEEE Transactions on
Publisher
ieee
ISSN
1045-9227
Type
jour
DOI
10.1109/72.363490
Filename
363490
Link To Document