DocumentCode :
1527382
Title :
A geometrical representation of McCulloch-Pitts neural model and its applications
Author :
Zhang, Ling ; Zhang, Bo
Author_Institution :
Artificial Intelligence Inst., Anhui Univ., Hefei, China
Volume :
10
Issue :
4
fYear :
1999
fDate :
7/1/1999 12:00:00 AM
Firstpage :
925
Lastpage :
929
Abstract :
In this paper, a geometrical representation of McCulloch-Pitts neural model (1943) is presented, From the representation, a clear visual picture and interpretation of the model can be seen. Two interesting applications based on the interpretation are discussed. They are 1) a new design principle of feedforward neural networks and 2) a new proof of mapping abilities of three-layer feedforward neural networks
Keywords :
feedforward neural nets; geometry; multilayer perceptrons; McCulloch-Pitts neural model; feedforward neural network design; geometrical representation; mapping abilities; three-layer feedforward neural networks; Artificial intelligence; Artificial neural networks; Computer science; Convergence; Feedforward neural networks; Intelligent systems; Mathematics; Neural networks; Neurons; Solid modeling;
fLanguage :
English
Journal_Title :
Neural Networks, IEEE Transactions on
Publisher :
ieee
ISSN :
1045-9227
Type :
jour
DOI :
10.1109/72.774263
Filename :
774263
Link To Document :
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