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Innovative Teaching and Learning
Innovative Teaching and Learning
Knygos.lt klubas Knygos.lt nariams
258,36 €
-30%
Įprastai
369,09 €
  • Išsiųsime per 12–18 d.d.
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 application…
  • Leidėjas:
  • Metai: 2010
  • Puslapiai: 334
  • ISBN-10: 3790824658
  • ISBN-13: 9783790824650
  • Formatas: 15.6 x 23.4 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

Innovative Teaching and Learning (el. knyga) (skaityta knyga) | knygos.lt

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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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  • Autorius: Professor Lakhmi C Jain
  • Leidėjas:
  • Metai: 2010
  • Puslapiai: 334
  • ISBN-10: 3790824658
  • ISBN-13: 9783790824650
  • Formatas: 15.6 x 23.4 x 1.9 cm, minkšti viršeliai
  • Kalba: Anglų

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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