- Series: The MIT Press
- Paperback: 502 pages
- Publisher: MIT Press (February 4, 2000)
- Language: English
- ISBN-10: 0262528738
- ISBN-13: 978-0262528733
- Product Dimensions: 8 x 1.1 x 10 inches
- Shipping Weight: 2.7 pounds (View shipping rates and policies)
- Average Customer Review: 1 customer review
Knowledge-Based Neurocomputing (MIT Press) (The MIT Press) Paperback – February 4, 2000
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Zurada's first volume is arguable the best neural network text ever written. Cloete and Zurada's Knowledge-Based Neurocomputing continues in this tradition of excellence. Clearly and precisely written, this volume belongs in the library of every neuro smith.―Robert J. Marks II, Department of Electrical Engineering, University of Washington, Seattle, and former Editor-in-Chief, IEEE Transaction on Neural Networks (Endorsement)
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For graduate students
This book is a set of papers about problem solving with Artificial Nueral Networks. So, you have to be well fimiliarized with the Neural Network concept. All these papers shows an approach to solve specific problems when creting an infernce machine related with a data base(Knowledge Base).
Some knowledge on labeled graphs, and calculus can't be avoid. With this book you can : explore the several knowledge representation, introduce them into an Artificial Neural Network with testing and learning periods, and get the new rules generated once learning period ends.
If you are developing an Expert System or a Knowledge-Based system you can't avoid use the Human Expert when you are designig the Knowledge Base. But, the expert would be only needed as a example provider for training and not as rule provider by using these book. So, the Artificial Neural Network works as the rule generator and inference engine.
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