In most applications of the multilayer perceptron (MLP) the main objective is to maximize the generalization ability of the network. We show that this ability is related to the sensitivity of the output of the MLP to small input changes. Several criteria have been proposed for the evaluation of the sensitivity. We propose a new index and present a way for improving these sensitivity criteria. Some numerical experiments allow a first comparison of the efficiencies of these criteria. 1.

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In this paper we present a general purpose cooling schema for using simulated annealing in a Boltzmann machine. Because this cooling schema is deduced from the behaviour of each unit, we can expect that it is not problem dependent and therefore can be used for any kind of problem.

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