Study of identifying properties of non-distinct multilayer perceptron

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The article describes an automated system for identification of the density distribution probability function. This system uses a neural network model of fuzzy-logic multilayer perceptron. The article analyzes the results of identification calculated by the networks applying different learning algorithms, and concludes on the best learning algorithm.

Automated system, neural network, identification, non-distinct multilayer perceptron, learning algorithms

Короткий адрес: https://sciup.org/148203206

IDR: 148203206

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