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Abstract: The application of genetic programming to the evolution of neural networks has been hindered by the inadequacy of parse trees to represent oriented graphs, and by the lack of a good mechanism for encoding the weights. In this work, a hybrid method is introduced, where genetic programming evolves a mapping function to adapt the weights, whereas a genetic algorithm-based approach evolves the architecture. Results on the application of the new method to the evolution of feedforward and... (Update)
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BibTeX entry: (Update)
@techreport{ pujol99evolving,
author = "Joao Pujol and Riccardo Poli",
title = "Evolving the Architecture and Weights of Neural Networks Using a Weight Mapping Approach",
number = "CSRP-99-05",
year = "1999",
url = "citeseer.ist.psu.edu/figueirapujol99evolving.html" }
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3 Dual network representation applied to the evolution of neur.. - Pujol, Poli - 1998
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