Autor/Autorin: Peleshchak Roman
Roman Peleshchak Professor and Doctor of Physical and Mathematical Sciences. E-mail: rpele@ukr.netIvan Peleshchak is Postgraduate. E-mail: peleshchakivan@gmail.com.Victoria Vysotska, PhD, Associate Professor and Deputy Head of Information Systems and Networks Department. Lviv Polytechnic National University, Lviv, Ukraine.
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.
Peleshchak, RomannRoman Peleshchak Professor and Doctor of Physical and Mathematical Sciences. E-mail: rpele@ukr.netIvan Peleshchak is Postgraduate. E-mail: peleshchakivan@gmail.com.Victoria Vysotska, PhD, Associate Professor and Deputy Head of Information Systems and Networks Department. Lviv Polytechnic National University, Lviv, Ukraine.
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Klappentext
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.
