title: Evolutionary learning of nearest-neighbor MLP.
abstract: 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.
authors.affiliation: Multimedia Device Lab., Aizu Univ.
authors.forename: Q
authors.initials: Q
authors.lastname: Zhao
authors.forename: T
authors.initials: T
authors.lastname: Higuchi