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Methods for recognizing multispectral images based on neural networks
Victoria Vysotska
(Author)
·
Roman Peleshchak
(Author)
·
Ivan Peleshchak
(Author)
·
LAP Lambert Academic Publishing
· Paperback
Methods for recognizing multispectral images based on neural networks - Peleshchak, Roman ; Peleshchak, Ivan ; Vysotska, Victoria
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Synopsis "Methods for recognizing multispectral images based on neural networks"
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.
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All books in our catalog are Original.
The book is written in English.
The binding of this edition is Paperback.
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