DocumentCode
1508336
Title
A pyramidal delayed perceptron
Author
Martinelli, G. ; Ricotti, L. Prina ; Ragazzini, S. ; Mascioli, F.M.
Author_Institution
Dipartimento INFOCOM, Rome Univ., Italy
Volume
37
Issue
9
fYear
1990
fDate
9/1/1990 12:00:00 AM
Firstpage
1176
Lastpage
1181
Abstract
It is pointed out that choosing the number of layers and the number of neurons per layer is critical in the actual application of the multilayer perceptron. A method for overcoming this inconvenience is proposed. The method requires modifying the structure of the perceptron by introducing suitable delays between adjacent layers and by connecting all the neurons to be input. With this approach, it is possible to automatically yield both the configuration of the network and the values of the weights of the connections. The new type of perceptron has a pyramidal shape just like the digital perceptron introduced by J.J. Vidal (1988)
Keywords
neural nets; delays; layers; multilayer perceptron; neurons; pyramidal delayed perceptron; weights; Circuit stability; Delay; Multilayer perceptrons; Neural networks; Neurons; Polynomials; Robust stability; Stability criteria; Sufficient conditions; Uncertain systems;
fLanguage
English
Journal_Title
Circuits and Systems, IEEE Transactions on
Publisher
ieee
ISSN
0098-4094
Type
jour
DOI
10.1109/31.57609
Filename
57609
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