Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies - Image 1

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LAP Lambert Academic Publishing Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies

Name: Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies
Brand: LAP Lambert Academic Publishing
Price: 55.0 GBP
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Description

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.

Product Specifications

Brand: LAP Lambert Academic Publishing
Format: paperback
ASIN: 6203197971
Category: Books > Subjects > Computing & Internet > Computer Science > AI & Machine Learning
Domain: Amazon UK
Release Date: 22 December 2020
Listed Since: 20 January 2021

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LAP Lambert Academic Publishing Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies

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LAP Lambert Academic Publishing Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies

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