Expert Systems In Engineering
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Author | : Spyros Tzafestas |
Publisher | : Springer Science & Business Media |
Total Pages | : 391 |
Release | : 2012-12-06 |
Genre | : Computers |
ISBN | : 3642840485 |
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 | : C.S. Krishnamoorthy |
Publisher | : CRC Press |
Total Pages | : 328 |
Release | : 2018-04-24 |
Genre | : Computers |
ISBN | : 1351465589 |
This book provides a comprehensive presentation of artificial intelligence (AI) methodologies and tools valuable for solving a wide spectrum of engineering problems. What's more, it offers these AI tools on an accompanying disk with easy-to-use software. Artificial Intelligence and Expert Systems for Engineers details the AI-based methodologies known as: Knowledge-Based Expert Systems (KBES); Design Synthesis; Design Critiquing; and Case-Based Reasoning. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnosis, classification, monitoring, and design problems. Case studies are provided with problems in engineering design for better understanding of the problem-solving models using the four methodologies in an integrated software environment. Throughout the book, examples are given so that students and engineers can acquire skills in the use of AI-based methodologies for application to practical problems ranging from diagnosis to planning, design, and construction and manufacturing in various disciplines of engineering. Artificial Intelligence and Expert Systems for Engineers is a must-have reference for students, teachers, research scholars, and professionals working in the area of civil engineering design in particular and engineering design in general.
Author | : Frederick Hayes-Roth |
Publisher | : Addison Wesley Publishing Company |
Total Pages | : 470 |
Release | : 1983 |
Genre | : Computers |
ISBN | : |
Computer science textbook, computer programming, knowledge processing (data processing) - evaluation and design of expert systems. Bibliography, glossary, illustrations.
Author | : John Durkin |
Publisher | : Macmillan College |
Total Pages | : 1204 |
Release | : 1994 |
Genre | : Computers |
ISBN | : |
Presents a step-by-step methodology for designing expert systems. Each chapter on design methodology starts with a problem and leads the reader through the design of a system which solves that problem.
Author | : Adedeji Bodunde Badiru |
Publisher | : John Wiley & Sons |
Total Pages | : 313 |
Release | : 2002-10-08 |
Genre | : Computers |
ISBN | : 0471275344 |
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 | : D. T. Pham |
Publisher | : Springer |
Total Pages | : 506 |
Release | : 1988 |
Genre | : Computers |
ISBN | : |
Author | : I. Gupta |
Publisher | : Mercury Learning and Information |
Total Pages | : 454 |
Release | : 2020-04-06 |
Genre | : Computers |
ISBN | : 1683925068 |
This book is designed to identify some of the current applications and techniques of artificial intelligence as an aid to solving problems and accomplishing tasks. It provides a general introduction to the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. The book has been structured into five parts with an emphasis on expert systems: problems and state space search, knowledge engineering, neural networks, fuzzy logic, and Prolog. Features: Introduces the various branches of AI which include formal logic, reasoning, knowledge engineering, expert systems, neural networks, and fuzzy logic, etc. Includes a separate chapter on Prolog to introduce basic programming techniques in AI
Author | : Stephen I. Gallant |
Publisher | : MIT Press |
Total Pages | : 392 |
Release | : 1993 |
Genre | : Computers |
ISBN | : 9780262071451 |
presents a unified and in-depth development of neural network learning algorithms and neural network expert systems
Author | : Adedeji Bodunde Badiru |
Publisher | : Pearson Education |
Total Pages | : 452 |
Release | : 1992 |
Genre | : Business & Economics |
ISBN | : |
A comprehensive, integrated guide to engineering and manufacturing applications of expert systems.
Author | : Clive L. Dym |
Publisher | : McGraw-Hill Companies |
Total Pages | : 440 |
Release | : 1991 |
Genre | : Architecture |
ISBN | : |
This book integrates the fundamentals of artifical intelligence (AI) approaches to knowledge representation with engineering examples. Its unified treatment makes it an essential tool in this emerging new field. Combining an informed approach to AI with engineering problem solving, this book is suitable for an introductory course on AI/expert systems which is specifically offered to engineers. The text provides an in-depth appreciation of the AI fundamentals underlying knowledge-based systems and covers rule-based, frame-based, and object-oriented representation with many engineering illustrations.