Fundamentals of Expert Systems Technology PDF Download
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Author: Samuel J. Biondo
Publisher: Intellect Books
ISBN:
Category : Computers
Languages : en
Pages : 168
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Book Description
The material in this book was used in both undergraduate and graduate courses in expert systems. The introduction and overview contains sufficient information to provide the mature student with the background to select tools for class projects. This is followed by an overview of symbolic programming languages and introduction to object-oriented programming, then continues with the concepts and language structures used in designing knowledge sources composed of knowledge bases and inference engines.
Author: Samuel J. Biondo
Publisher: Intellect Books
ISBN:
Category : Computers
Languages : en
Pages : 168
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Book Description
The material in this book was used in both undergraduate and graduate courses in expert systems. The introduction and overview contains sufficient information to provide the mature student with the background to select tools for class projects. This is followed by an overview of symbolic programming languages and introduction to object-oriented programming, then continues with the concepts and language structures used in designing knowledge sources composed of knowledge bases and inference engines.
Author: Rahulkumar Shivajirao Hingole
Publisher: Springer
ISBN: 3662444976
Category : Science
Languages : en
Pages : 126
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Book Description
This comprehensive book offers a clear account of the theory and applications of advanced metal forming. It provides a detailed discussion of specific forming processes, such as deep drawing, rolling, bending extrusion and stamping. The author highlights recent developments of metal forming technologies and explains sound, new and powerful expert system techniques for solving advanced engineering problems in metal forming. In addition, the basics of expert systems, their importance and applications to metal forming processes, computer-aided analysis of metalworking processes, formability analysis, mathematical modeling and case studies of individual processes are presented.
Author: Paul Harmon
Publisher: Wiley
ISBN: 9780471839507
Category : Computers
Languages : en
Pages : 289
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Book Description
The first book to discuss efficient ways to implement the systems currently being developed--written by the co-author of Expert Systems: Artificial Intelligence in Business, generally regarded as the best non-technical guide to expert systems for business people. Gives innovative ideas for using expert systems to facilitate business operations. Appropriate as a text or supplement for data base, decision support, or special-topic courses that cover expert systems. Clearly explains new applications of automatic decision-making in management, sales, operations, programming, research, and service industries. Text supported by extensive examples and graphs.
Author: Efraim Turban
Publisher: Macmillan College
ISBN:
Category : Computers
Languages : en
Pages : 840
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Book Description
"This book is devoted mainly to applied expert systems. It does cover four additional applied AI Topics: natural language processing, computer vision, speech understanding and intelligent robotics"--Preface
Author: Adedeji Bodunde Badiru
Publisher: John Wiley & Sons
ISBN: 0471275344
Category : Computers
Languages : en
Pages : 313
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Book Description
Provides an up-to-date integration of expert systems with fuzzy logic and neural networks. Includes coverage of simulation models not present in other books. Presents cases and examples taken from the authors' experience in research and applying the technology to real-world situations.
Author: Frederick Hayes-Roth
Publisher: Addison Wesley Publishing Company
ISBN:
Category : Computers
Languages : en
Pages : 470
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Book Description
Computer science textbook, computer programming, knowledge processing (data processing) - evaluation and design of expert systems. Bibliography, glossary, illustrations.
Author: Joseph C. Giarratano
Publisher: Brooks/Cole
ISBN: 9780534937447
Category : CLIPS (Computer program language)
Languages : en
Pages : 644
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Book Description
In this book, the authors present rule-based programming in CLIPS (a rule-based programming language developed at NASA in part by Gary Riley). This book covers the construction of expert systems using rule-based programming methodologies. In this new edition the CLIPS software has been completely updated from version 4.2 to 6.0 and new CLIPS features have been included. The prerequisites are a structured programming and a data structures courses.
Author: Spyros Tzafestas
Publisher: Springer Science & Business Media
ISBN: 3642840485
Category : Computers
Languages : en
Pages : 391
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Book Description
Expert system technology is receiving increasing popularity and acceptance in the engineering community. This is due to the fact that there actually exists a close match between the capabilities of the current generation expert systems and the requirements of engineering practice. Prepared by a distinguished team of experts, this book provides a balanced state-of-the-art presentation of the design principles of engineering expert systems, and a representative picture of their capabilities to assist efficiently the design, diagnosis and operation of complex industrial plants. Among the application areas covered are the following: hardware synthesis, industrial plant layout design, fault diagnosis, process control, image analysis, computer communication, electric power systems, intelligent control, robotics, and manufacturing systems. The book is appropriate for the researcher and the professional. The researcher can save considerable time in searching the scattered technical information on engineering expert systems. The professional can have readily available a rich set of guidelines and techniques that are applicable to a wide class of engineering domains.
Author: James M. Keller
Publisher: John Wiley & Sons
ISBN: 111921436X
Category : Technology & Engineering
Languages : en
Pages : 378
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Book Description
Provides an in-depth and even treatment of the three pillars of computational intelligence and how they relate to one another This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation. The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. While other books in the three fields that comprise computational intelligence are written by specialists in one discipline, this book is co-written by current former Editor-in-Chief of IEEE Transactions on Neural Networks and Learning Systems, a former Editor-in-Chief of IEEE Transactions on Fuzzy Systems, and the founding Editor-in-Chief of IEEE Transactions on Evolutionary Computation. The coverage across the three topics is both uniform and consistent in style and notation. Discusses single-layer and multilayer neural networks, radial-basis function networks, and recurrent neural networks Covers fuzzy set theory, fuzzy relations, fuzzy logic interference, fuzzy clustering and classification, fuzzy measures and fuzzy integrals Examines evolutionary optimization, evolutionary learning and problem solving, and collective intelligence Includes end-of-chapter practice problems that will help readers apply methods and techniques to real-world problems Fundamentals of Computational intelligence is written for advanced undergraduates, graduate students, and practitioners in electrical and computer engineering, computer science, and other engineering disciplines.
Author: Richard E. Neapolitan
Publisher: CreateSpace
ISBN: 9781477452547
Category : Computers
Languages : en
Pages : 448
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Book Description
This text is a reprint of the seminal 1989 book Probabilistic Reasoning in Expert systems: Theory and Algorithms, which helped serve to create the field we now call Bayesian networks. It introduces the properties of Bayesian networks (called causal networks in the text), discusses algorithms for doing inference in Bayesian networks, covers abductive inference, and provides an introduction to decision analysis. Furthermore, it compares rule-base experts systems to ones based on Bayesian networks, and it introduces the frequentist and Bayesian approaches to probability. Finally, it provides a critique of the maximum entropy formalism. Probabilistic Reasoning in Expert Systems was written from the perspective of a mathematician with the emphasis being on the development of theorems and algorithms. Every effort was made to make the material accessible. There are ample examples throughout the text. This text is important reading for anyone interested in both the fundamentals of Bayesian networks and in the history of how they came to be. It also provides an insightful comparison of the two most prominent approaches to probability.
