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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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Add Innovative Teaching and Learning: Knowledge-Based Paradigms, 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 system, Innovative Teaching and Learning: Knowledge-Based Paradigms to the inventory that you are selling on WonderClubX
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Add Innovative Teaching and Learning: Knowledge-Based Paradigms, 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 system, Innovative Teaching and Learning: Knowledge-Based Paradigms to your collection on WonderClub |