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Foundations of neural networks, fuzzy systems, and knowledge engineering / Nikola K. Kasabov.

By: Material type: TextTextSeries: Bradford bookPublication details: Cambridge, Mass. : MIT Press, ©1996.Description: 1 online resource (xvi, 550 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 0585038767
  • 9780585038766
  • 9781613448212
  • 161344821X
  • 9780262276757
  • 0262276755
Subject(s): Genre/Form: Additional physical formats: Print version:: Foundations of neural networks, fuzzy systems, and knowledge engineering.DDC classification:
  • 006.3 20
LOC classification:
  • QA76.76.E95 K375 1996eb
Online resources:
Contents:
1. The faculty of knowledge engineering and problem solving -- 2. Knowledge engineering and symbolic artificial intelligence -- 3. From fuzzy sets to fuzzy systems -- 4. Neural networks : theoretical and computational models -- 5. Neural networks for knowledge engineering and problem solving -- 6. Hybrid symbolic, fuzzy, and connectionist systems : toward comprehensive artificial intelligence -- 7. Neural networks, fuzzy systems, and nonlinear dynamical systems. chaos ; toward new connectionist and fuzzy logic models.
Awards:
  • Choice Outstanding Academic Books and Nonprint Materials
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Electronic-Books Electronic-Books OPJGU Sonepat- Campus E-Books EBSCO Available

"A Bradford book."

Includes bibliographical references (pages 523-538) and index.

1. The faculty of knowledge engineering and problem solving -- 2. Knowledge engineering and symbolic artificial intelligence -- 3. From fuzzy sets to fuzzy systems -- 4. Neural networks : theoretical and computational models -- 5. Neural networks for knowledge engineering and problem solving -- 6. Hybrid symbolic, fuzzy, and connectionist systems : toward comprehensive artificial intelligence -- 7. Neural networks, fuzzy systems, and nonlinear dynamical systems. chaos ; toward new connectionist and fuzzy logic models.

Print version record.

English.

Choice Outstanding Academic Books and Nonprint Materials

Access restricted to Ryerson students, faculty and staff. CaOTR

eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - Worldwide

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