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Industrial and Manufacturing Systems, Vol 4. Neural Network Systems Techniques and Applications Part No. 4
Elsevier Science and Technology, Feb 1998, Pages: 395
Industrial and Manufacturing Systems serves as an in-depth guide to major applications in this focal area of interest to the engineering community. This volume emphasizes the neural network structures used to achieve practical and effective systems, and provides numerous examples. Industrial and Manufacturing Systems is a unique and comprehensive reference to diverse application methodologies and implementations by means of neural network systems. It willbe of use to practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering.
Key Features
- Quality control techniques
- Active noise and vibration control
- Chemical processing systems
- Process monitoring and diagnosis
- Robotic assembly in electronics manufacturing systems
- Smart structural systems of improved effective-ness
- Closed loop feedback control in uncertain nonlinear manufacturing systems
- Adaptive neural controllers in industrial systems
- Machine tool control systems
Emphasis is placed on neural network structures for achieving practical and effective systems, with numerous examples illustrating the text; Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as in computer science and engineering, will find this volume a unique and comprehensive reference to diverse application methodologies and implementations by means of neura network systems.
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