Free E Book Artificial intelligence and expert systems for engineers

Free E Book Artificial intelligence and expert systems for engineers

Free E Book Artificial intelligence and expert systems for engineers
Free E Book Artificial intelligence and expert systems for engineers

Author(s): C.S. Krishnamoorthy, S. Rajeev
Series: New Directions in Civil Engineering
Publisher: CRC Press, Year: 1996
ISBN: 0849391253,9780849391255


This book provides a comprehensive overview of the valuable Artificial Intelligence methodologies and tools (AI) to solve a wide range of engineering problems. Moreover, it provides these AI tools on disk accompanied by easy-to-use software. 

Details of artificial intelligence and expert systems for engineers detailing AI-based methodologies known as: Knowledge Based Expert Systems (KBES); Design tuning; Design criticism; Case-based thinking. KBES are the most popular AI-based tools and have been successfully applied to planning, diagnostic, classification, monitoring and design issues.

 Case studies are provided with problems in engineering design to better understand problem-solving models using the four methodologies in an integrated programming environment, examples are provided throughout the book so students and engineers can acquire skills in the use of artificial intelligence methodologies for application to practical problems ranging from diagnosis to planning, design, construction and manufacturing In various engineering majors.

 Artificial intelligence and expert systems for engineers is a must-have reference for students, teachers, research scientists, and professionals working in the field of civil engineering design in particular and engineering design in general.


The book aims to present a comprehensive view of the existing Artificial Intelligence (AI) Methodologies and software tools where, for the first time, the focus is on addressing a wide range of Engineering problems.

The expert system methodology has been applied in the past to a number of planning and design problems Diagnosis etc.

However, engineering design problems have not been adequately addressed since then Problems must be addressed in an integrated manner with knowledge from different fields and sources.

Recent research in the last ten years has led to the emergence of new methodologies It will enable building integrated design systems that can handle fully Design process. These methodologies include design synthesis, design criticism, case-based thinking etc.

Which leads to concurrent engineering. Details of these methodologies and tools are currently only available at A form of technical papers and reports of research projects that have been implemented in the Academy and others Institutions.

In the past few years, many R & D projects have been implemented by the authors Prototype systems have been developed for specific applications of engineering systems. During this process, The authors have proposed generic frameworks and developed effective programming tools to meet Engineering design requirements. 

This intensive work, along with teaching a graduate course in Computer-aided design motivated the authors to write a book on the topic with a different description Methods and presentation of software tools that meet the requirements of existing integrated knowledge Systems in engineering. The authors hope the book will serve as a textbook for students and teachers Software frameworks and tools will provide the required reference materials for researchers Professionals who want to develop knowledge-based systems in various disciplines engineering.

The book is divided into seven chapters. The first chapter provides an overview of developments in The fields of applications of artificial intelligence and KBES in engineering. Important and The importance of using AI-based methodologies to solve engineering problems appears well
this chapter.

The dominant component of any AI-based program is the extensive use of research technologies. 
According to On the nature of the problem and the context, appropriate research techniques will be adopted.

Chapter 2 introduces different research techniques used in AI-based programs. 
KBES are the most popular and successful AI-based tools that have been developed to address problems in Planning, diagnosis, classification, monitoring and design. Various knowledge representation schemes such as As rules, semantic grids and frames are presented in Chapter 3.

 The driving mechanisms infer The knowledge base is also presented with the help of simple engineering examples. Architecture System expert shell, developed by the authors, called DEKBASE (Development Environment for Knowledge Based Systems in Engineering are presented along with examples illustrating use DEKBASE to develop production-based expert systems.

Chapter 4 outlines the concepts of design synthesis and the techniques used to create multiple solutions
With pre-defined restrictions. Field re-analysis technology is useful for engineering The design is illustrated with examples. Architecture and framework for assembling design and computer Implementation of generic tool, GENSYNT (general summary tool) and use is presented
GENSYNT is explained by examples.

The engineering design process includes the use of sources of knowledge from various fields. Any possible solution It is born out of consideration of one area that must be evaluated to satisfy the interests of the other Areas involved in the process. Methodology for critique the design and evaluate the solution Introduction to Chapter 3. GENCRIT (Generic CRITiquing Tool) Structure with Sample Problems.

Another major development in the AI-based methodology is the emergence of case-based thinking (CBR) Which aims to find solutions based on previous cases stored in cassette files with an application Appropriate inference mechanisms. CBR-based model requirements for engineering design and General framework work, CASETOOL (case-based reasoning tool) is presented in Chapter 6.

Engineering design includes a class of complex obstetric tasks whose solutions depend on the cooperative The participation of many specialists. In order to develop a knowledge-based system analysis of all tasks Concerned must be performed. Based on task analysis, the developer must define AI methodologies Need and suggest a process model for the system. 

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