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Hybrid Modeling and Optimization of Manufacturing Combining Artificial Intelligence and Finite Element Method /
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 h...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | SpringerBriefs in Computational Mechanics,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-3-642-28085-6 | ||
| 003 | DE-He213 | ||
| 005 | 20220115220758.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120215s2012 gw | s |||| 0|eng d | ||
| 020 | |a 9783642280856 |9 978-3-642-28085-6 | ||
| 024 | 7 | |a 10.1007/978-3-642-28085-6 |2 doi | |
| 050 | 4 | |a TS1-2301 | |
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| 082 | 0 | 4 | |a 670 |2 23 |
| 100 | 1 | |a Quiza, Ramón. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Hybrid Modeling and Optimization of Manufacturing |h [electronic resource] : |b Combining Artificial Intelligence and Finite Element Method / |c by Ramón Quiza, Omar López-Armas, J. Paulo Davim. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg : |b Imprint: Springer, |c 2012. | |
| 300 | |a VIII, 95 p. 67 illus. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Computational Mechanics, |x 2191-5350 | |
| 505 | 0 | |a Relevance and convenience of hybrid (AI and FEM) modeling and optimization of manufacturing processes -- Approaches for combining AI and FEM -- FEM/AI models -- AI/FEM models -- Other approaches -- Artificial intelligence tools -- AI tools for modeling -- Artificial neural networks -- Fuzzy logic and neuro-fuzzy system -- Bayesian probability -- AI tool for optimization -- Evolutionary algorithms -- Swarm intelligence -- Finite element method for manufacturing modeling -- Plasticity models -- Constitutive equations -- Finite element discretization -- Case of study -- Experimental study -- FEM-based modeling -- AI-based modeling -- Optimization -- Concluding remarks. | |
| 520 | |a 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. | ||
| 650 | 0 | |a Manufactures. | |
| 650 | 0 | |a Mechanics, Applied. | |
| 650 | 0 | |a Solids. | |
| 650 | 0 | |a Computational intelligence. | |
| 650 | 1 | 4 | |a Machines, Tools, Processes. |
| 650 | 2 | 4 | |a Solid Mechanics. |
| 650 | 2 | 4 | |a Computational Intelligence. |
| 700 | 1 | |a López-Armas, Omar. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 700 | 1 | |a Davim, J. Paulo. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9783642280863 |
| 776 | 0 | 8 | |i Printed edition: |z 9783642280849 |
| 830 | 0 | |a SpringerBriefs in Computational Mechanics, |x 2191-5350 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-3-642-28085-6 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||