Generalized nets in artificial intelligence. Volume 6: Generalized nets and supervised neural

Generalized nets in artificial intelligence. Volume 6: Generalized nets and supervised neural

Каталожен №: 261807

Издателство: Академично издателство "Проф. Марин Дринов"

Автори: Сотир Сотиров, Красимир Атанасов

ISBN: 978-954-322-623-8

Страници: 146

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Цена нов: 
8,00 лв.

Описание на артикула:

Generalized nets are a tool for modelling of parallel processes. They represent an extension of the concept of Petri nets and the rest of their modifications. In a series of books, generalized nets have been shown as a uniform language for description of various concepts and paradigms from the area of artificial intelligence. Artificial neural networks are a biologically inspired tool for modelling and optimization. They have a lot of modifications, depending on the pattern of connecting their components and the possibility of neural networks to learn over time. The present book contains our recent research aimed at describing in terms of generalized nets of the functioning and the results of the work of the class of neural networks that follow one of the major learning paradigms in artificial intelligence, that of the supervised learning.

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