%0 Report %1 Kuscu:1994:dANNuGA %A Kuscu, Ibrahim %A Thornton, Chris %C Falmer, Brighton, Sussex, UK %D 1994 %K algorithms, genetic programming %N 319 %T Design of artificial neural networks using genetic algorithms: review and prospect %U ftp://ftp.cogs.susx.ac.uk/pub/reports/csrp/csrp319.ps.Z %X The design of Artificial Neural Networks by Genetic Algorithm is useful in terms of (1) automating and optimising the design and (2) finding biologically plausible models. This paper presents a review of the state of the art and research prospects in the area.

@techreport{Kuscu:1994:dANNuGA, abstract = {The design of Artificial Neural Networks by Genetic Algorithm is useful in terms of (1) automating and optimising the design and (2) finding biologically plausible models. This paper presents a review of the state of the art and research prospects in the area.}, added-at = {2008-06-19T17:35:00.000+0200}, address = {Falmer, Brighton, Sussex, UK}, author = {Kuscu, Ibrahim and Thornton, Chris}, biburl = {https://www.bibsonomy.org/bibtex/2361b391b9f19a81eebbb95a74f66dd44/brazovayeye}, institution = {School of Cognitive and Computing Sciences, University of Sussex}, interhash = {55fd8c233339102fa894631f96166d5e}, intrahash = {361b391b9f19a81eebbb95a74f66dd44}, keywords = {algorithms, genetic programming}, month = {30 April}, number = 319, size = {11 pages}, timestamp = {2008-06-19T17:44:33.000+0200}, title = {Design of artificial neural networks using genetic algorithms: review and prospect}, type = {Cognitive Science Research Paper}, url = {ftp://ftp.cogs.susx.ac.uk/pub/reports/csrp/csrp319.ps.Z}, year = 1994 }