Innovative Teaching and Learning
Knowledge-Based Paradigms
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Beschreibung
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.
Useful help to develop successful learning and teaching tools for the teaching of knowledge-based paradigms
Autor*in
Professor Lakhmi C. Jain
Themen in »Innovative Teaching and Learning«
artificial intelligence artificial neural network evolution evolutionary computation expert system fuzzy fuzzy logic fuzzy system information information processing intelligence learning modeling networks optimization