On training of artificial neural networks

Jun Wang, B. Malakooti

Research output: Contribution to conferencePaperpeer-review

10 Citations (Scopus)

Abstract

A theory and methodology are presented for training artificial neural networks in a general setting. Starting with defining general concepts, and analyzing associated properties of artificial neural networks, the authors formalize, categorize, and characterize artificial neural networks from a system point of view. They focus on the analysis aspect of artificial neural nets to address and investigate trainability and representability; on the synthesis aspect of artificial neural nets to provide design principles to the systems; and on the algorithmic aspect of the artificial neural nets to develop an effective and efficient learning paradigm.

Original languageEnglish
Pages387-393
Number of pages7
DOIs
Publication statusPublished - 1989
Externally publishedYes
EventIJCNN International Joint Conference on Neural Networks - Washington, DC, USA
Duration: 18 Jun 198922 Jun 1989

Conference

ConferenceIJCNN International Joint Conference on Neural Networks
CityWashington, DC, USA
Period18/06/8922/06/89

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