Definition of artificial neural networks with comparison to other networks | Zendy

Erkam Güreşen | Zendy; Gülgün Kayakutlu | Zendy

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Definition of artificial neural networks with comparison to other networks

Author(s) -

Erkam Güreşen,

Gülgün Kayakutlu

Publication year - 2011

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2010.12.071

Subject(s) - computer science , artificial neural network , artificial intelligence , graph , graphics , point (geometry) , theoretical computer science , machine learning , mathematics , computer graphics (images) , geometry

Definition of Artificial Neural Networks (ANNs) is made by computer scientists, artificial intelligence experts and mathematicians in various dimensions. Many of the definitions explain ANN by referring to graphics instead of giving well explained mathematical definitions; therefore, misleading weighted graphs (as in minimum cost flow problem networks) fit the definition of ANN. This study aims to give a clear definition that will differentiate ANN and graphical networks by referring to biological neural networks. The proposed definition of ANN is a mathematical definition, from the point of graph theory which defines ANN as a directed graph. Then differences between ANNs and other networks will be explained by examples using proposed definition

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