Different types of theories in neurocomputation

M. R. Bastida, J. F. Nazuno

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

A classification is presented of the various existing paradigms used in the field of artificial neural networks. The criterion for classification is the degree of formalism, ranging from purely formal accounts like those of Hecht-Nielsen to models of purely physiological inspiration, such as the Darwin II network. The authors view the field as far from being homogeneous, organized, or formal and conclude that more work has to be made to find a unifying formalism.

Original languageEnglish
Title of host publicationProceedings of SPIE - The International Society for Optical Engineering
PublisherPubl by Int Soc for Optical Engineering
Pages150-156
Number of pages7
Editionpt 1
ISBN (Print)0819405787
StatePublished - 1991
Externally publishedYes
EventApplications of Artificial Neural Networks II - Orlando, FL, USA
Duration: 2 Apr 19915 Apr 1991

Publication series

NameProceedings of SPIE - The International Society for Optical Engineering
Numberpt 1
Volume1469
ISSN (Print)0277-786X

Conference

ConferenceApplications of Artificial Neural Networks II
CityOrlando, FL, USA
Period2/04/915/04/91

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