Designing Neural Networks Using Gene Expression Programming

Created by W.Langdon from gp-bibliography.bib Revision:1.8612

@InProceedings{ferreira:2004:wsc9,

• author = "Candida Ferreira",
• title = "Designing Neural Networks Using Gene Expression Programming",
• booktitle = "9th Online World Conference on Soft Computing in Industrial Applications",
• year = "2004",
• editor = "Ajith Abraham and Bernard {de Baets} and Mario Koeppen and Bertram Nickolay",
• volume = "34",
• series = "Advances in Soft Computing",
• pages = "517--535",
• address = "On the World Wide Web",
• month = "20 " # sep # " - 8 " # oct,
• organisation = "World Federation on Soft Computing (WFSC)",
• publisher = "Springer-Verlag",
• keywords = "genetic algorithms, genetic programming, Gene Expression Programming",
• isbn13 = "978-3-540-31649-7",
• URL = "http://www.gene-expression-programming.com/webpapers/Ferreira-WSC9.pdf",
• URL = "http://www.gene-expression-programming.com/webpapers/abstracts.asp#14",
• DOI = "10.1007/3-540-31662-0_40",
• abstract = "An artificial neural network with all its elements is a rather complex structure, not easily constructed and/or trained to perform a particular task. Consequently, several researchers used Genetic Algorithms to evolve partial aspects of neural networks, such as the weights, the thresholds, and the network architecture. Indeed, over the last decade many systems have been developed that perform total network induction. In this work it is shown how the chromosomes of Gene Expression Programming can be modified so that a complete neural network, including the architecture, the weights and thresholds, could be totally encoded in a linear chromosome. It is also shown how this chromosomal organization allows the training/adaptation of the network using the evolutionary mechanisms of selection and modification, thus providing an approach to the automatic design of neural networks. The workings and performance of this new algorithm are tested on the 6-multiplexer and on the classical exclusive-or problems.",
• notes = "WSC9 genetic_programming@yahoogroups.com Wed, 15 Aug 2007 09:27:52 BST

  This volume presents the proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th - October 08th, 2004, held on the World Wide Web.",

}

Genetic Programming entries for Candida Ferreira

Citations