Automatic generation of a neural network architecture using evolutionary computation

Vonk, E. and Jain, L.C. and Veelenturf, L.P.J. and Johnson, R. (1995) Automatic generation of a neural network architecture using evolutionary computation. In: Electronic Technology Directions to the Year 2000, Adelaide, Australia, ETD2000, 1995.

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Abstract:	This paper reports the application of evolutionary computation in the automatic generation of a neural network architecture. It is a usual practice to use trial and error to find a suitable neural network architecture. This is not only time consuming but may not generate an optimal solution for a given problem. The use of evolutionary computation is a step towards automation in architecture generation. In this paper a brief introduction to the field is given as well as an implementation of automatic neural network generation using genetic programming
Item Type:	Conference or Workshop Item
Copyright:	©1995 IEEE
Research Group:	Signals and Systems (SAS)
Link to this item:	http://purl.utwente.nl/publications/16290
Official URL:	http://dx.doi.org/10.1109/ETD.1995.403479
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