Development of the Algorithm of Adaptive Construction of Hierarchical Neural Network Classifiersстатья
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Аннотация:This paper presents the development of the algorithm for adaptive construction of hierarchical
neural network classifiers based on automatic modification of the desired response of a perceptron with a small number of neurons in a single hidden layer. Improved versions of the algorithm are tested on standard benchmark problems Vowels and MNIST. A discussion of the results, strengths and weaknesses of the algorithm, directions of further work on its testing and improvement, is provided.