| dc.contributor.author | Bolouri, H. | |
| dc.contributor.author | Adams, R.G. | |
| dc.contributor.author | George, S. | |
| dc.contributor.author | Rust, A.G. | |
| dc.date.accessioned | 2009-10-21T11:22:58Z | |
| dc.date.available | 2009-10-21T11:22:58Z | |
| dc.date.issued | 1998 | |
| dc.identifier.citation | Bolouri , H , Adams , R G , George , S & Rust , A G 1998 , Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks . in Proceedings of the 1998 International Conference on Neural Information Processing and Intelligent Information Systems (ICONIP'98) . vol. 2 , pp. 797-800 . | |
| dc.identifier.other | PURE: 406728 | |
| dc.identifier.other | PURE UUID: bce39bed-33c8-48fb-8d57-2b39492bd1b0 | |
| dc.identifier.other | dspace: 2299/3983 | |
| dc.identifier.uri | http://hdl.handle.net/2299/3983 | |
| dc.description.abstract | We argue that molecular self-organisation during embryonic development allows evolution to perform highly nonlinear combinatorial optimisation. A structured approach to architectural optimisation of large-scale Artificial Neural Networks using this principle is presented. We also present simulation results demonstrating the evolution of an edge detecting retina using the proposed methodology. | en |
| dc.language.iso | eng | |
| dc.relation.ispartof | Proceedings of the 1998 International Conference on Neural Information Processing and Intelligent Information Systems (ICONIP'98) | |
| dc.title | Molecular self-organisation in a developmental model for the evolution of large-scale artificial neural networks | en |
| dc.contributor.institution | Centre for Computer Science and Informatics Research | |
| rioxxterms.type | Other | |
| herts.preservation.rarelyaccessed | true | |
