Neural networks - a brief overview

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


Neural networks - computational models loosely inspired by the brain - are now finding widespread application for solving classification, function approximation and optimization problems. This paper provides a brief but comprehensive review of neural networks. Various learning paradigms are discussed, as is the use of neural networks of solving optimization problems. We also describe briefly an approach to optimizing neural network applications using the genetic algorithm.

Original languageEnglish (US)
Pages (from-to)1191-1195
Number of pages5
JournalProceedings of the American Power Conference
Issue numberpt 2
StatePublished - Jan 1 1991
EventProceedings of the 53rd Annual Meeting of the American Power Conference - Chicago, IL, USA
Duration: Apr 29 1991May 1 1991


Dive into the research topics of 'Neural networks - a brief overview'. Together they form a unique fingerprint.

Cite this