Evolutionary learning of nearest-neighbor MLP.
The nearest-neighbor multilayer perceptron (NN-MLP) is a single-hidden-layer network suitable for pattern recognition. To design an NN-MLP efficiently, this paper proposes a new evolutionary algorithm consisting of four basic operations: recognition, remembrance, reduction, and review. Experimental results show that this algorithm can produce the smallest or nearly smallest networks from random initial ones.
Zhao
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Q
Multimedia Device Lab., Aizu Univ.
Higuchi
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T