Artificial intelligence : a guide to intelligent systems

By:

Negnevitsky, Michael

Material type: Text

TextPublication details: Harlow: Pearson education ltd., c2025.Edition: 4th edDescription: xviii, 580pISBN:

9781292730851

Subject(s):

DDC classification:

006.33 NEG

Summary: Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.

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Holdings
Item type	Current library	Call number	Status	Barcode
Book	International Management Institute New Delhi	006.33 NEG (Browse shelf(Opens below))	Available	22135

Includes bibliographical references and index

Unlike many books on computer intelligence, which use complex computer science terminology and are crowded with complex matrix algebra and differential equations, this text demonstrates that the ideas behind intelligent systems are simple and straightforward. This text assumes little or no programming experience as it tackles topics like expert systems, fuzzy systems, artificial neural networks, evolutionary computation, knowledge engineering, and data mining.

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