| dc.contributor.author | Pensuwon, W. | |
| dc.contributor.author | Adams, R.G. | |
| dc.contributor.author | Davey, N. | |
| dc.date.accessioned | 2011-10-18T15:01:08Z | |
| dc.date.available | 2011-10-18T15:01:08Z | |
| dc.date.issued | 2000 | |
| dc.identifier.citation | Pensuwon , W , Adams , R G & Davey , N 2000 , Optimising a neural tree classifier using a genetic algorithm . in Proceedings of the 4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES'2000) . vol. 2 , pp. 848-851 . | |
| dc.identifier.isbn | 0780364007 | |
| dc.identifier.other | PURE: 422484 | |
| dc.identifier.other | PURE UUID: bb8e8f66-dc4b-4376-a88e-ce02d9689f7a | |
| dc.identifier.other | dspace: 2299/831 | |
| dc.identifier.other | Scopus: 0033645589 | |
| dc.identifier.uri | http://hdl.handle.net/2299/6718 | |
| dc.description.abstract | This paper documents experiments performed using a GA to optimise the parameters of a dynamic neural tree model. Two fitness functions were created from two selected clustering measures, and a population of genotypes, specifying parameters of the model were evolved. This process mirrors genomic evolution and ontogeny. It is shown that the evolved parameter values improved performance | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 4th International Conference on Knowledge-Based Intelligent Engineering Systems and Allied Technologies (KES'2000) | |
| dc.rights | Open | |
| dc.title | Optimising a neural tree classifier using a genetic algorithm | en |
| dc.contributor.institution | Science & Technology Research Institute | |
| dc.contributor.institution | School of Computer Science | |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| dc.description.versiontype | Final Accepted Version | |
| dcterms.dateAccepted | 2000 | |
| rioxxterms.version | AM | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
| herts.rights.accesstype | Open | |
