Overview

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 Scientists reflects its broader scope, incorporating knowledge-based systems, computational intelligence, and their hybrids.Clear and concise, the book shows the issues encountered in the development of applied systems and describes a wide range of intelligent systems techniques. The author describes each technique at the level of detail required to develop intelligent systems for real applications. Whether you are building intelligent systems or you simply want to know more about them, Intelligent Systems for Engineers and Scientists provides you with a detailed, up-to-date, and practical guide to solving real problems in science and engineering.T his indispensable book provides everything in one volume:BREADTH - from knowledge-based systems to computational intelligenceDEPTH - from introductory concepts to advanced specialist techniquesSCOPE - from principles to practicalities

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9780849304569

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it has a clear and concise style of presentation but still manages to comprise a great deal of material. The new chapters on intelligent agents, neural networks and optimisation algorithms fit neatly alongside the established chapters. I read the first edition of Adrian Hopgood's book a few years ago and have consulted it on many occasions for AI projects I have been involved with. I fully expect to make use of this new edition of Intelligent Systems for Engineers and Scientists for future projects. - Desmond Case, Senior Lecturer, University College Northampton, in Expert Systems: The International Journal of Knowledge Engineering and Neural Networks, September 2002

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