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Abstract: This paper is concerned with the simultaneous evolution of artificial neural network (ANN) architectures and weights. The current practice in evolving ANN's is to choose the best ANN in the last generation as the final result. This paper proposes a different approach to form the final result by combining all the individuals in the last generation in order to make best use of all the information contained in the whole population. This approach regards a population of ANN's as an ensemble and... (Update)
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BibTeX entry: (Update)
X. Yao and Y. Liu, "Making use of population information in evolutionary artificial neural networks," IEEE Transactions on Systems, Man, and Cybernetics, Vol. 28B, No.2, April 1998. http://citeseer.ist.psu.edu/yao98making.html More
@misc{ yao98making,
author = "X. Yao and Y. Liu",
title = "Making use of population information in evolutionary artificial neural
networks",
text = "X. Yao and Y. Liu, Making use of population information in evolutionary
artificial neural networks, IEEE Transactions on Systems, Man, and Cybernetics,
Vol. 28B, No.2, April 1998.",
year = "1998",
url = "citeseer.ist.psu.edu/yao98making.html" }
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