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Knowledge Based Systems for Engineers and Scientists

1993-01-19 Computers
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Release : 1993-01-19
Genre : Computers
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Knowledge Based Systems for Engineers and Scientists by : Adrian A. Hopgood

Download or read book Knowledge Based Systems for Engineers and Scientists written by Adrian A. Hopgood. This book was released on 1993-01-19. Available in PDF, EPUB and Kindle. Book excerpt: Knowledge-Based Systems for Engineers and Scientists describes the principles of knowledge-based systems and related techniques and their use in solving practical problems. The book explains a variety of techniques including the use of artificial intelligence toolkits and languages, rule-based systems, uncertainty, blackboard systems, object-oriented systems, and machine learning. The techniques are illustrated through their applications to practical problems in interpretation and diagnosis, design and selection, planning, and control. Knowledge-Based Systems for Engineers and Scientists is designed for practicing engineers and scientists wanting to learn about this exciting area of computing. It is also an excellent text for final-year undergraduate as well as graduate engineering and computer students wishing to strengthen their specialized computing skills.

Intelligent Systems for Engineers and Scientists

2000-10-11 Computers
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Release : 2000-10-11
Genre : Computers
Kind : eBook
Book Rating : 025/5 ( reviews)

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Book Synopsis Intelligent Systems for Engineers and Scientists by : Adrian A. Hopgood

Download or read book Intelligent Systems for Engineers and Scientists written by Adrian A. Hopgood. This book was released on 2000-10-11. Available in PDF, EPUB and Kindle. Book excerpt: This updated version of the best-selling Knowledge-Based Systems for Engineers and Scientists (CRC Press, 1993) embraces both the explicit knowledge-based models retained from the first edition and the implicit numerical models represented by neural networks and optimization algorithms. The title change to Intelligent Systems for Engineers and Scie

Intelligent Systems for Engineers and Scientists

2012-02-02 Computers
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Release : 2012-02-02
Genre : Computers
Kind : eBook
Book Rating : 178/5 ( reviews)

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Book Synopsis Intelligent Systems for Engineers and Scientists by : Adrian A. Hopgood

Download or read book Intelligent Systems for Engineers and Scientists written by Adrian A. Hopgood. This book was released on 2012-02-02. Available in PDF, EPUB and Kindle. Book excerpt: 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. Check out the significantly expanded set of free web-based resources that support the book at: http://www.adrianhopgood.com/aitoolkit/

XPS-99: Knowledge-Based Systems - Survey and Future Directions

1999-02-22 Computers
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Release : 1999-02-22
Genre : Computers
Kind : eBook
Book Rating : 588/5 ( reviews)

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Book Synopsis XPS-99: Knowledge-Based Systems - Survey and Future Directions by : Frank Puppe

Download or read book XPS-99: Knowledge-Based Systems - Survey and Future Directions written by Frank Puppe. This book was released on 1999-02-22. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th Biannual German Conference on Knowledge-Based Systems, XPS-99, held in Würzburg, Germany in March 1999. The book presents four invited surveys by leading scientists together with 14 revised full papers selected from more than 50 papers presented at the meeting. The papers address research issues in knowledge engineering, knowledge-based diagnosis, knowledge-based configuration, and case-based reasoning as well as advanced applications of knowledge-based systems in various fields.

An Introduction to Knowledge Engineering

2007-08-08 Computers
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Release : 2007-08-08
Genre : Computers
Kind : eBook
Book Rating : 670/5 ( reviews)

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Book Synopsis An Introduction to Knowledge Engineering by : Simon Kendal

Download or read book An Introduction to Knowledge Engineering written by Simon Kendal. This book was released on 2007-08-08. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Knowledge Engineering presents a simple but detailed exp- ration of current and established work in the ?eld of knowledge-based systems and related technologies. Its treatment of the increasing variety of such systems is designed to provide the reader with a substantial grounding in such techno- gies as expert systems, neural networks, genetic algorithms, case-based reasoning systems, data mining, intelligent agents and the associated techniques and meth- ologies. The material is reinforced by the inclusion of numerous activities that provide opportunities for the reader to engage in their own research and re?ection as they progress through the book. In addition, self-assessment questions allow the student to check their own understanding of the concepts covered. The book will be suitable for both undergraduate and postgraduate students in computing science and related disciplines such as knowledge engineering, arti?cial intelligence, intelligent systems, cognitive neuroscience, robotics and cybernetics. vii Contents Foreword vii 1 An Introduction to Knowledge Engineering. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1 Section 1: Data, Information and Knowledge . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Section 2: Skills of a Knowledge Engineer . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 10 Section 3: An Introduction to Knowledge-Based Systems. . . . . . . . . . . . . . . . . 18 2 Types of Knowledge-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26 Section 1: Expert Systems. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27 Section 2: Neural Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 36 Section 3: Case-Based Reasoning. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55 Section 4: Genetic Algorithms. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 66 Section 5: Intelligent Agents. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74 Section 6: Data Mining . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 83 3 Knowledge Acquisition. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 89 4 Knowledge Representation and Reasoning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 108 Section 1: Using Knowledge. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 109 Section 2: Logic, Rules and Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 116 Section 3: Developing Rule-Based Systems . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 126 Section 4: Semantic Networks. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .

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