DocumentCode
1449187
Title
Functional graph model of a neural network
Author
Podolak, Igor T.
Author_Institution
Inst. of Comput. Sci., Jagellonian Univ., Cracow, Poland
Volume
28
Issue
6
fYear
1998
fDate
12/1/1998 12:00:00 AM
Firstpage
876
Lastpage
881
Abstract
A model representing neural networks is proposed. It uses the functional graphs notion defined by R. Jakubowski (1977). This is a system of nodes connected with functional edges between which binary relations can be defined. Multilayer artificial neural networks can easily be defined using functional edges to model neurons, and parametrized binary relations to model synaptic connections. Learning is also defined in terms of functional graphs. The proposed description can produce descriptions of whole classes of networks
Keywords
feedforward neural nets; learning (artificial intelligence); binary relations; functional graph model; functional graphs; learning; multilayer artificial neural networks; neural network; parametrized binary relations; synaptic connections; Artificial neural networks; Computer architecture; Computer science; Feedforward neural networks; Feeds; Hidden Markov models; Multi-layer neural network; Neural networks; Neurons; Numerical models;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics, Part B: Cybernetics, IEEE Transactions on
Publisher
ieee
ISSN
1083-4419
Type
jour
DOI
10.1109/3477.735398
Filename
735398
Link To Document