Design and Implementation of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, to Fuzzy Logic
معرفی کتاب «Design and Implementation of Intelligent Manufacturing Systems : From Expert Systems, Neural Networks, to Fuzzy Logic» نوشتهٔ Hamid R. Parsaei, Mohammed Jamshidi.، منتشرشده توسط نشر Pearson Education در سال 1995. این کتاب در فرمت pdf، زبان انگلیسی ارائه شده است.
The introduction of artificial intelligence, neural networks, and fuzzy logic into industry has given a new perspective to manufacturing processes in the U.S. and abroad. To help readers keep pace, this book addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives. Booknews Addresses topics of intelligent manufacturing from a variety of theoretical, empirical, design, and implementation perspectives. The 15 contributions provide a foundation for further research that could be done in this area which eventually would lead to efficient and intelligent manufacturing systems. Among the specific topics are a workcell programming language for intelligent manufacturing systems; using neural networks for the automatic monitoring and recognition of signals in manufacturing processes; and fuzzy-logic control as an industrial control language for embedded controllers. Annotation c. Book News, Inc., Portland, OR (booknews.com) Cover CONTENTS Chapter 1. Workcell Programming Language for Intelligent Manufacturing Systems Chapter 2. An Intelligent System for Automating the Inspection of Manufacturing Parts Chapter 3. An Intelligent Hybrid System for Synthesis and Control of a Metal Forming Process Chapter 4. Intelligent Diagnostics in Robotics and Integrated Manufacturing Systems Chapter 5. Fuzzy Logic Controller for Part Routing Chapter 6. Fuzzy-Logic Control as an Industrial Control Language for Embedded Controllers Chapter 7. Using Neural Networks for the Automatic Monitoring and Recognition of Signals in Manufacturing Processes Chapter 8. Artificial Neural Network Approach in Modeling of EDM and Wire-EDM Processes Chapter 9. A Knowledge-Based Expert System for Selection of Industrial Robots Chapter 10. A Case-Based Knowledge System to Trouble Shoot Failures in a Manufacturing Environment Chapter 11. Partially-overlapped Systems: the Scheduling Problem Chapter 12. An Object-Oriented Approach to Feature-Based Process Planning Chapter 13. Intelligent Feature Extraction for Concurrent Design and Manufacturing Chapter 14. CAD in Automatic Machine Programming Chapter 15. Fault Diagnosis of Large Manufacturing Processes AUTHOR INDEX A B C D G H I J K L M N P R S T U V Y SUBJECT INDEX A B C D E F G H I J K L M N O P Q R S T U V W From expert systems and neural networks, to fuzzy logic, this book addresses the latest developments in intelligent manufacturing. It presents fresh material on the successful application of artificial intelligence to engineering design and manufacturing planning and control. Covers a variety of theoretical, empirical, design, and implementation perspectives, from computer integrated manufacturing, to flexible manufacturing systems, to computer aided manufacturing, in 15 individual chapters. For computer scientists, programmers, and manufacturing engineers. Previously announced in May 1994 PTR catalog. The goal of emerging intelligent manufacturing is to model the skills and knowledge of manufacturing experts so that intelligent equipment and machines can produce products with little or no human intervention.
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