Synopsis
Introduction to Multilayer Neural Networks.- Basics of Generalized Nets.- Simulation Process of Neural Networks.- Learning from Examples.- Learning as a Control Process.- Parameterisation of Learning.- Adjoint Neural Networks.
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Review
From the reviews:
“This book aims to provide a suitable framework allowing the embedding of the multilayer neural networks viewed as multistage systems, in an extension of Petri net theory called the theory of generalized nets. ... The developments presented in the book are both interesting and important, and open new perspectives for research in the area ... . book is of real value to researchers in the field of neural networks. It is also useful for students studying computer science and engineering.” (L. State, Computing Reviews, April, 2014)"About this title" may belong to another edition of this title.
