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Download Implementation Techniques (Neural Network Systems Techniques and Applications) by Cornelius T. Leondes in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Implementation Techniques (Neural Network Systems Techniques and Applications)
This volume covers practical and effective implementation techniques, including recurrent methods, Boltzmann machines, constructive learning with methods for the reduction of complexity in neural network systems, modular systems, associative memory, neural network design based on the concept of the Inductive Logic Unit, and a comprehensive treatment of implementations in the area of data classification. Numerous examples enhance the text. Practitioners, researchers,and students in engineering and computer science will find Implementation Techniques a comprehensive and powerful reference. Key Features* Recurrent methods* Boltzmann machines* Constructive learning with methods for the reduction of complexity in neural network systems* Modular systems* Associative memory* Neural network design based on the concept of the Inductive Logic Unit* Data classification* Integrated neuron model systems that function as programmable rational approximatorsWith numerous examples to enhance the text, practitioners, researchers, and students in engineering and computer science will find Implementation Techniques a uniquely comprehensive and powerful reference source
Detailed Information
| Author: | Cornelius T. Leondes |
|---|---|
| Publication Year: | 1997 |
| ISBN: | 124438636 |
| Pages: | 421 |
| Language: | English |
| File Size: | 16.92 |
| Format: | |
| Price: | FREE |
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