Hybrid Modeling and Optimization of Manufacturing
Quiza, Ramon; Lopez-Armas, Omar; Davim, Joao Paulo
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Description for Hybrid Modeling and Optimization of Manufacturing
Paperback. 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. This book intends to review the work already done in this field as well as exposes the possibilities and foreseen trends. Series: Springerbriefs in Applied Sciences and Technology/Springerbriefs in Computational Mechanics. Num Pages: 103 pages, 67 black & white illustrations, biography. BIC Classification: TGXW; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 5. Weight in Grams: 159.
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.
Product Details
Format
Paperback
Publication date
2012
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
103
Condition
New
Series
Springerbriefs in Applied Sciences and Technology/Springerbriefs in Computational Mechanics
Number of Pages
95
Place of Publication
Berlin, Germany
ISBN
9783642280849
SKU
V9783642280849
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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