Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method (SpringerBriefs in Applied Sciences and Technology)
Language: English
Published by Springer, 2012
Series: Book 7 of 472 - SpringerBriefs in Applied Sciences and Technology
- Softcover
- New
Seller: Ria Christie Collections, Uxbridge, United KingdomRia Christie Collections
AbeBooks seller since March 25, 2015
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In English.
Seller Inventory # ria9783642280849_new
- Title
- Hybrid Modeling and Optimization of Manufacturing: Combining Artificial Intelligence and Finite Element Method (SpringerBriefs in Applied Sciences and Technology)
- Author
- Quiza, Ramón
- Publisher
- Springer
- Publication year
- 2012
- Condition
- New
- Binding
- Soft cover
- Language
- English
- ISBN 10
- 3642280846
- ISBN 13
- 9783642280849
- Item weight
- 279 grams
- Series
- Book 7 of 472: SpringerBriefs in Applied Sciences and Technology
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.
"Synopsis" may belong to another edition of this title.
From the Back Cover
Artificial intelligence (AI) techniques and the finite element method (FEM) are both powerful computing tools, which are extensively used for modeling and optimizing manufacturing processes. The combination of these tools has resulted in a new flexible and robust approach as several recent studies have shown. This book aims to review the work already done in this field as well as to expose the new possibilities and foreseen trends. The book is expected to be useful for postgraduate students and researchers, working in the area of modeling and optimization of manufacturing processes.
"About the title" may belong to another edition of this title.
Ria Christie Collections
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