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Abstract: This paper presents a new evolutionary system, i.e., EPNet, for evolving artificial neural networks (ANN's). The evolutionary algorithm used in EPNet is based on Fogel's evolutionary programming (EP). Unlike most previous studies on evolving ANN's, this paper puts its emphasis on evolving ANN's behaviors. This is one of the primary reasons why EP is adopted. Five mutation operators proposed in EPNet reflect such an emphasis on evolving behaviors. Close behavioral links between parents and their ... (Update)
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BibTeX entry: (Update)
X. Yao and Y. Liu, "A new evolutionary system for evolving artificial neural networks," IEEE Transactions on Neural Networks, 1996. Accepted. http://citeseer.ist.psu.edu/yao96new.html More
@article{ yao97new,
author = "X. Yao and Y. Liu",
title = "A New Evolutionary System for Evolving Artificial Neural Networks",
journal = "IEEE Transactions on Neural Networks",
volume = "8",
number = "3",
month = "May",
pages = "694--713",
year = "1997",
url = "citeseer.ist.psu.edu/yao96new.html" }
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