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Artificial Intelligence

2005 Computers
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Release : 2005
Genre : Computers
Kind : eBook
Book Rating : 660/5 ( reviews)

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Book Synopsis Artificial Intelligence by : Michael Negnevitsky

Download or read book Artificial Intelligence written by Michael Negnevitsky. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: Keeping the maths to a minimum, Negnevitsky explains the principles of AI, demonstrates how systems are built, what they are useful for and how to choose the right tool for the job.

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/

Artificial Intelligence and Algorithms in Intelligent Systems

2018-05-26 Technology & Engineering
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Release : 2018-05-26
Genre : Technology & Engineering
Kind : eBook
Book Rating : 899/5 ( reviews)

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Book Synopsis Artificial Intelligence and Algorithms in Intelligent Systems by : Radek Silhavy

Download or read book Artificial Intelligence and Algorithms in Intelligent Systems written by Radek Silhavy. This book was released on 2018-05-26. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the latest trends and approaches in artificial intelligence research and its application to intelligent systems. It discusses hybridization of algorithms, new trends in neural networks, optimisation algorithms and real-life issues related to the application of artificial methods. The book constitutes the second volume of the refereed proceedings of the Artificial Intelligence and Algorithms in Intelligent Systems of the 7th Computer Science On-line Conference 2018 (CSOC 2018), held online in April 2018.

Artificial Intelligence and Intelligent Systems

2005 Computers
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Release : 2005
Genre : Computers
Kind : eBook
Book Rating : 544/5 ( reviews)

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Book Synopsis Artificial Intelligence and Intelligent Systems by : N. P. Padhy

Download or read book Artificial Intelligence and Intelligent Systems written by N. P. Padhy. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence and Intelligent Systems provides a comprehensive coverage of the fundamental concepts and techniques in artificial intelligence. The book discusses current trends in AI and its application to various fields. Intelligent systems such as expert systems, fuzzy systems, artificial neural networks, genetic algorithms, and swarm intelligent systems are discussed in detail with examples to facilitate in-depth understanding of AI. The text emphasizes the solution of real-world problems using the latest AI techniques. Since the ultimate goal of AI is the construction of programs to solve problems, an entire chapter has been devoted to the programming languages used in AI problem solving. Written in a clear and lucid style, this student-friendly book has been specially designed for undergraduate engineering students. With its application oriented approach and inclusion of recent topics, the book would also be useful to postgraduate students and researchers in th is field. Features BL Includes real-world examples to illustrate concepts BL Contains a separate chapter on programming languages in AI BL Includes new topics such as swarn intelligent systems BL Explains genetic algorithms and swarn intelligence using examples BL Provides numerous illustrations, examples, and end-chapter exercises

Intelligent Systems

2011-07-29 Technology & Engineering
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Release : 2011-07-29
Genre : Technology & Engineering
Kind : eBook
Book Rating : 04X/5 ( reviews)

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Book Synopsis Intelligent Systems by : Crina Grosan

Download or read book Intelligent Systems written by Crina Grosan. This book was released on 2011-07-29. Available in PDF, EPUB and Kindle. Book excerpt: Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving. The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. This book comprising of 17 chapters offers a step-by-step introduction (in a chronological order) to the various modern computational intelligence tools used in practical problem solving. Staring with different search techniques including informed and uninformed search, heuristic search, minmax, alpha-beta pruning methods, evolutionary algorithms and swarm intelligent techniques; the authors illustrate the design of knowledge-based systems and advanced expert systems, which incorporate uncertainty and fuzziness. Machine learning algorithms including decision trees and artificial neural networks are presented and finally the fundamentals of hybrid intelligent systems are also depicted. Academics, scientists as well as engineers engaged in research, development and application of computational intelligence techniques, machine learning and data mining would find the comprehensive coverage of this book invaluable.

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