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It is demonstrated how simulated annealing can be used in CBM (classifier-based model) associative retrieval to overcome the problems associated with gradient descent. It is shown that, with its use, the CBM can find a solution as required by the associative recall problem even in extremely disadvantageous object-space topologies where gradient descent fails. Simulated annealing is more robust than...
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