Methods for recognizing multispectral images based on neural networks: Models for recognizing multispectral images based on neural network technologies - Roman Peleshchak,Ivan Peleshchak,Victoria Vysotska
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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 ... Full description
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.
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| Author | Roman Peleshchak, Ivan Peleshchak, Victoria Vysotska |
|---|---|
| Publisher | LAP LAMBERT Academic Publishing |
| Release year | 2020 |
| Cover type | Softcover |
| EAN | 9786203197976 |