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Beschreibung
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.
Models for recognizing multispectral images based on neural network technologies
Details
| Verlag | LAP LAMBERT Academic Publishing |
| Ersterscheinung | 22. Dezember 2020 |
| Maße | 22 cm x 15 cm x 1 cm |
| Gewicht | 244 Gramm |
| Format | Softcover |
| ISBN-13 | 9786203197976 |
| Seiten | 152 |
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