The role of genetic algorithms in neural network query-based learning and explanation facilities

Author

Eberhart, Russell C.

Author_Institution

Research Triangle Inst., Research Triangle Park, NC, USA

fYear

1992

fDate

6/6/1992 12:00:00 AM

Firstpage

169

Lastpage

183

Abstract

Genetic algorithms are used as a means of achieving neural network inversion. Neural network inversion allows a user to find one or more neural network input patterns which yield a specific output. The input patterns obtained from the genetic algorithm can use in training partially-trained networks, as well as in the building of neural network system explanation facilities

Keywords

explanation; genetic algorithms; learning (artificial intelligence); neural nets; explanation; genetic algorithms; input patterns; neural network inversion; neural network query-based learning; training; Abdomen; Genetic algorithms; Intelligent networks; Medical diagnosis; Medical diagnostic imaging; Network synthesis; Neural networks; Pain; Testing; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Combinations of Genetic Algorithms and Neural Networks, 1992., COGANN-92. International Workshop on

Conference_Location

Baltimore, MD

Print_ISBN

0-8186-2787-5

Type

conf

DOI

10.1109/COGANN.1992.273940

Filename

273940

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1637734