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Artificial Neural Systems: Principle and Practice Cover

Artificial Neural Systems: Principle and Practice

Publisher:Bentham Science
By: Pierre Lorrentz  
Paid access
|Nov 2015
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Description
An intelligent system is one which exhibits characteristics including but not limited to learning adaptation and problem-solving. Artificial Neural Network (ANN) Systems are intelligent systems designed on the basis of statistical models of learning that mimic biological systems such as the human central nervous system. Such ANN systems represent the theme of this book. This book also describes concepts related to evolutionary methods clustering algorithms and other networks which are complementary to ANN systems.
The book is divided into two parts. The first part explains basic concepts derived from the natural biological neuron and introduces purely scientific frameworks used to develop a viable ANN model. The second part expands over to the design analysis performance assessment and testing of ANN models. Concepts such as Bayesian networks multi-classifiers and neuromorphic ANN systems are explained among others.
Artificial Neural Systems: Principles and Practice takes a developmental perspective on the subject of ANN systems making it a beneficial resource for students undertaking graduate courses and research projects and working professionals (engineers software developers) in the field of intelligent systems design.
PDF ISBN: 978-1-68108-090-1
Publisher: Bentham Science
Copyright owner: © 2015 Bentham Science Publishers
Publication date: 2015
Language: English
Pages: 245
Related subjects:
Computer sciences,
Artificial intelligence

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