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Status:
Available4.8
28 reviews
ISBN 10: 1439865965
ISBN 13: 9781439865965
Author: Adrian A Hopgood
The third edition of this bestseller examines the principles of artificial intelligence and their application to engineering and science, as well as techniques for developing intelligent systems to solve practical problems. Covering the full spectrum of intelligent systems techniques, it incorporates knowledge-based systems, computational intelligence, and their hybrids.
Using clear and concise language, Intelligent Systems for Engineers and Scientists, Third Edition features updates and improvements throughout all chapters. It includes expanded and separated chapters on genetic algorithms and single-candidate optimization techniques, while the chapter on neural networks now covers spiking networks and a range of recurrent networks. The book also provides extended coverage of fuzzy logic, including type-2 and fuzzy control systems. Example programs using rules and uncertainty are presented in an industry-standard format, so that you can run them yourself.
The first part of the book describes key techniques of artificial intelligence―including rule-based systems, Bayesian updating, certainty theory, fuzzy logic (types 1 and 2), frames, objects, agents, symbolic learning, case-based reasoning, genetic algorithms, optimization algorithms, neural networks, hybrids, and the Lisp and Prolog languages. The second part describes a wide range of practical applications in interpretation and diagnosis, design and selection, planning, and control.
The author provides sufficient detail to help you develop your own intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, this book provides you with detailed and up-to-date guidance.
Introduction
Rule-Based Systems
Handling Uncertainty: Probability and Fuzzy Logic
Agents, Objects, and Frames
Symbolic Learning
Single-Candidate Optimization Algorithms
Genetic Algorithms for Optimization
Neural Networks
Hybrid Systems
Artificial Intelligence Programming Languages
Systems for Interpretation and Diagnosis
Systems for Design and Selection
Systems for Planning
Systems for Control
The Future of Intelligent Systems
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Tags: Adrian A Hopgood, Intelligent, engineers
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