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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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D. Tedman, L.C. Jain: An Introduction to Innovative Teaching and Learning.- R.S.T. Lee, J.N.K. Liu: Teaching and Learning the AI Modeling.- C.L. Karr, C. Sunal, C. Smith: Artificial Intelligence Techniques for an Interdisciplinary Science Course.- J.F. Vega-Riveros: On the Architecture of Intelligent Tutoring Systems and its Application to a Neural Networks Course.- V. Devedzic: Teaching Knowledge Modeling at the Graduate Level - a Case Study.- V. Devedzic, D. Radovic, L. Jerinic: Innovative Modeling Techniques for Intelligent Tutoring Systems.- J. Fulcher: Teaching Course on Artificial Neural Networks.- T. Hiyama: Innovative Education for Fuzzy Logic Stabilization of Electric Power Systems in a Matlab/Simulink Environment.- W.L. Goh, S.K. Amarasinghe: A Neural Network Wokbench for Teaching and Learning.- C.A. Higgins, F.Z. Mansouri: PRAM: A Courseware System for the Automatic Assessment of AI Programs.
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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing)
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Useful help to develop successful learning and teaching tools for the teaching of knowledge-based paradigmsPresented are innovative teaching and learning techniques for the teaching of knowledge-based paradigms. The main knowledge-based intelligent para. Codice articolo 5310732
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Innovative Teaching and Learning
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Physica-Verlag, Physica-Verlag HD, Physica Okt 2010, 2010
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 334 pp. Englisch. Codice articolo 9783790824650
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Innovative Teaching and Learning: Knowledge-Based Paradigms (Studies in Fuzziness and Soft Computing)
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Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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. Codice articolo 9783790824650
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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.Physica Verlag, Tiergartenstr. 17, 69121 Heidelberg 348 pp. Englisch. Codice articolo 9783790824650
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