Evolving Neural Networks Using a Dual Representation with a Combined Crossover Operator
Created by W.Langdon from
gp-bibliography.bib Revision:1.8010
- @InProceedings{pujol:1998:enndr,
-
author = "Joao Carlos Figueira Pujol and Riccardo Poli",
-
title = "Evolving Neural Networks Using a Dual Representation
with a Combined Crossover Operator",
-
booktitle = "Proceedings of the 1998 IEEE World Congress on
Computational Intelligence",
-
year = "1998",
-
pages = "416--421",
-
address = "Anchorage, Alaska, USA",
-
month = "5-9 " # may,
-
publisher = "IEEE Press",
-
keywords = "genetic algorithms, genetic programming, PDGP,
activation function, architecture, binary
classification problems, complexity, crossover
operator, dual representation, grid-based
representation, linear chromosome, neural network
evolution, pruning strategy, weights, neural nets,
pattern classification",
-
ISBN = "0-7803-4869-9",
-
URL = "http://cswww.essex.ac.uk/staff/poli/papers/Pujol-ICEC1998.pdf",
-
URL = "http://citeseer.ist.psu.edu/313803.html",
-
file = "c072.pdf",
-
DOI = "doi:10.1109/ICEC.1998.699791",
-
size = "6 pages",
-
abstract = "In this paper a new approach to the evolution of
neural networks is presented. A linear chromosome
combined with a grid-based representation of the
network, and a new crossover operator, allow the
evolution of the architecture and the weights
simultaneously. In our approach there is no need for a
separate weight optimization procedure and networks
with more than one type of activation function can be
evolved. A pruning strategy is also introduced, which
leads to the generation of solutions with varying
degrees of complexity. Results of the application of
the method to several binary classification problems
are reported.",
-
notes = "ICEC-98 Held In Conjunction With WCCI-98 --- 1998 IEEE
World Congress on Computational Intelligence",
- }
Genetic Programming entries for
Joao Carlos Figueira Pujol
Riccardo Poli
Citations