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Automatic CNN multi-template tree generation

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5 Author(s)
Preciado, V.M. ; Inst. de Autom. Ind., Spanish Council for Sci. Res., Madrid, Spain ; Guinea, D. ; Vicente, J. ; Garcia-Alegre, M.C.
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We deal with the cellular neural network (CNN) research in the development of analogic algorithms that combine single templates to perform complex image processing. The results can be very useful for pattern recognition in industrial and robotic applications. This work presents a general methodology for the automatic generation of analogic algorithms by means of a genetic search. A genetic algorithm for generating multi-template trees, a concept derived from the AI field, is applied to the automatic generation of analogic algorithms based on both the genetic-evolutionary search and heuristic approaches

Published in:

Cellular Neural Networks and Their Applications, 2000. (CNNA 2000). Proceedings of the 2000 6th IEEE International Workshop on

Date of Conference:

2000