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 systems are designed to mimic the performance of bi...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Jain, Professor Lakhmi C. (Συγγραφέας, http://id.loc.gov/vocabulary/relators/aut)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 2000.
Έκδοση:1st ed. 2000.
Σειρά:Studies in Fuzziness and Soft Computing, 36
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.