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Neural Networks and Fuzzy Logic - Naga Bhaskar - Bog

Bag om Neural Networks and Fuzzy Logic

This book gives a systemic account of major concepts, methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. It integrates important theoretical results on artificial neural networks and uses them to explain a wide range of existing empirical observations and commonly used heuristics. The main audience of the book is undergraduate students in electrical engineering, computer science and engineering. It can also be used as a valuable resource for practical engineering, computer scientists and others involved in research of artificial neural networks

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9789385433238
  • Indbinding:
  • Hardback
  • Sideantal:
  • 302
  • Udgivet:
  • 6. februar 2015
  • Udgave:
  • Størrelse:
  • 191x235x18 mm.
  • Vægt:
  • 730 g.
  • 2-3 uger.
  • 10. december 2024

Normalpris

  • BLACK NOVEMBER

Medlemspris

Prøv i 30 dage for 45 kr.
Herefter fra 79 kr./md. Ingen binding.

Beskrivelse af Neural Networks and Fuzzy Logic

This book gives a systemic account of major concepts, methodologies of artificial neural networks and to present a unified frame work that makes the subject more accessible to students and practitioners. The book emphasizes fundamental theoretical aspects of the computational capabilities and learning abilities of artificial neural networks. It integrates important theoretical results on artificial neural networks and uses them to explain a wide range of existing empirical observations and commonly used heuristics. The main audience of the book is undergraduate students in electrical engineering, computer science and engineering. It can also be used as a valuable resource for practical engineering, computer scientists and others involved in research of artificial neural networks

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