Expert Systems in Engineering Applications

Expert Systems in Engineering Applications
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.

Artificial Intelligence and Expert Systems for Engineers

Artificial Intelligence and Expert Systems for Engineers
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.

Building Expert Systems

Building Expert Systems
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.

Expert Systems

Expert Systems
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.

Fuzzy Engineering Expert Systems with Neural Network Applications

Fuzzy Engineering Expert Systems with Neural Network Applications
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.

Artificial Intelligence and Expert Systems

Artificial Intelligence and Expert Systems
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

Neural Network Learning and Expert Systems

Neural Network Learning and Expert Systems
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

Knowledge-based Systems in Engineering

Knowledge-based Systems in Engineering
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.