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Artificial intelligence : a Guide to intelligent systems By Michael Negnevitsky

By: Material type: TextTextPublication details: Uttarpradesh: Pearson India, c2020.Edition: 3rd EdDescription: 479PISBN:
  • 9789353946791
Subject(s): DDC classification:
  • 006.3 NEG-A
Contents:
1. Introduction to knowledge-based intelligent systems -- 2. Rule-based expert systems -- 3. Uncertainty management in rule-based expert systems -- 4. Fuzzy expert systems -- 5. Frame-based expert systems -- 6. Artificial neutral networks -- 7. Evolutionary computation -- 8. Hybrid intelligent systems -- 9. Knowledge engineering
Summary: Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.
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Holdings
Item type Current library Home library Call number Status Date due Barcode
Book Book Dept. of Computational Biology and Bioinformatics Processing Center Dept. of Computational Biology and Bioinformatics 006.3 NEG-A (Browse shelf(Opens below)) Available DCB3968

1. Introduction to knowledge-based intelligent systems --
2. Rule-based expert systems --
3. Uncertainty management in rule-based expert systems --
4. Fuzzy expert systems --
5. Frame-based expert systems --
6. Artificial neutral networks --
7. Evolutionary computation --
8. Hybrid intelligent systems --
9. Knowledge engineering


Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.

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