Artificial intelligence : a Guide to intelligent systems By Michael Negnevitsky

By:

Negnevitsky, Michael

Material type: Text

TextPublication details: Uttarpradesh: Pearson India, c2020.Edition: 3rd EdDescription: 479PISBN:

9789353946791

Subject(s):

Expert systems (Computer science) Artificial intelligence. Systemes experts (Informatique)

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	Dept. of Computational Biology and Bioinformatics Processing Center	Dept. of Computational Biology and Bioinformatics	006.3 NEG-A (Browse shelf(Opens below))	Available		DCB3968

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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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