Zhengjun Pan, Theo Sabisch, Rod Adams, and Hamid Bolouri. Staged training of neocognitron by evolutionary algorithms. In Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, and Ali Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, volume 3, pages 1965.  Home/Search   Document Details and Download   Summary   Related Articles

....of these features include unsupervised competitive learning combined with manually designed training patterns [2] supervised gradient based optimization [4] enumeration heuristics [7] and sparse coding [13] Few works use evolutionary methods to optimize hierarchical vision systems. Pan et al. [6] optimize features with manually designed patterns as targets in intermediate stages of the vision architecture. Shi et al. 12] on the contrary use genetic algorithms to build these patterns and use conventional supervised training methods of the neocognitron [2] to get the features. In the ....

Zhengjun Pan, Theo Sabisch, Rod Adams, and Hamid Bolouri. Staged training of neocognitron by evolutionary algorithms. In Peter J. Angeline, Zbyszek Michalewicz, Marc Schoenauer, Xin Yao, and Ali Zalzala, editors, Proceedings of the Congress on Evolutionary Computation, volume 3, pages 1965.

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