Development of the algorithm of adaptive construction of hierarchical neural network classifiers
V. A. Svetlov, S. A. Dolenko · Optical Memory and Neural Networks · 2017
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.