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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing, 36) - Hardcover
Synopsis
Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge.
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Innovative Teaching and Learning: Knowledge-Based Paradings
Published by
Physica-Verlag GmbH & Co, 1999
ISBN 10: 3790812463
ISBN 13: 9783790812466
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Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1999. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1999. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # D-879-095
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Innovative Teaching and Learning
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Innovative Teaching and Learning
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Innovative Teaching and Learning
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Innovative Teaching and Learning : Knowledge-Based Paradigms
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Innovative Teaching and Learning : Knowledge-Based Paradings
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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing, 36)
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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing, 36)
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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing, 36)
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Innovative Teaching and Learning (Hardcover)
Published by
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, Heidelberg, 1999
ISBN 10: 3790812463
ISBN 13: 9783790812466
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Seller: Grand Eagle Retail, Mason, OH, U.S.A.
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Hardcover. Condition: new. Hardcover. Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Artificial neural networks can mimic the biological information processing mechanism in a very limited sense. Evolutionary computing algorithms are used for optimization applications, and fuzzy logic provides a basis for representing uncertain and imprecise knowledge. Presented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent paradigms are expert systems, artificial neural networks, fuzzy systems and evolutionary computing. Expert systems are designed to mimic the performance of biological systems. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9783790812466
Quantity: 1 available