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Hybrid Modeling and Optimization of Manufacturing : Combining Artificial Intelligence and Finite Element Method

Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2012.
Series: SpringerBriefs in Applied Sciences and Technology
Edition/Format:   eBook : Document : EnglishView all editions and formats
Summary:

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.

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Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
ISBN: 9783642280849 3642280846 9783642280856 3642280854
OCLC Number: 805652696
Description: 1 Online-Ressource.
Contents: 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.
Series Title: SpringerBriefs in Applied Sciences and Technology
Responsibility: by Ramón Quiza, Omar López-Armas, J. Paulo Davim.

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