Artificial Intelligence: A Guide to Intelligent Systems 3/E ePDF

Level / Grade:

Negnevitsky, M


Perpetual licence

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In stock
Artificial intelligence is one of the most rapidly evolving subjects within the computing/engineering curriculum, with an emphasis on creating practical applications from hybrid techniques. Despite this, the traditional textbooks continue to expect mathematical and programming expertise beyond the scope of current undergraduates and focus on areas not relevant to many of today's courses.

Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also data mining. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. However, available tools and their uses will be described and program examples will be given in MATLAB®.

The lack of assumed prior knowledge makes this book ideal for introductory courses in artificial intelligence or intelligent systems design, while the contemporary coverage means more advanced students will benefit by discovering the latest state-of-the-art techniques. The book covers:
  • Rule-based expert systems;
  • Fuzzy expert systems;
  • Frame-based expert systems;
  • Artificial neural networks;
  • Evolutionary computation;
  • Hybrid intelligent systems;
  • Knowledge engineering; and
  • Data mining.
This eBook is in ePDF format, which enables you to:
  • View the entire book offline on desktop or tablet;
  • Search for and highlight text; and
  • Add and edit personal notes directly in your eBook.
More Information
Author(s) Negnevitsky, M
Level/Grade Tertiary
Brand Pearson
Imprint Pearson
ISBN 9781408225752
Licence Perpetual licence
File type ePDF
Format Fixed layout
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