Methods for recognizing multispectral images based on neural networks 1

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Methods for recognizing multispectral images based on neural networks

Roman Peleshchak • Ivan Peleshchak • Victoria Vysotska

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152 sidor
2020

This monograph presents the basic concepts, methods, and models of multispectral image recognition based on oscillatory and diagonalized neural networks in a logical sequence. In addition, the monograph contains sections on the modified Hecht-Nielsen theorem, optimizing the size of a neural network taking into account the nonlinear generalized error of the neural network model, creating a pseudo-spin neural network with reduced learning time, and creating a decision support model based on a diagonalized neural network.

Författare: Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska
Format: Pocket/Paperback
ISBN: 9786203197976
Språk: Engelska
Antal sidor: 152
Utgivningsdatum: 2020-12-22
Förlag: LAP Lambert Academic Publishing