{
"item_title" : "Hybrid Modeling and Optimization of Manufacturing",
"item_author" : [" Ramón Quiza", "Omar López-Armas", "J. Paulo Davim "],
"item_description" : "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.",
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Hybrid Modeling and Optimization of Manufacturing : Combining Artificial Intelligence and Finite Element Method
Overview
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.
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Details
- ISBN-13: 9783642280849
- ISBN-10: 3642280846
- Publisher: Springer
- Publish Date: February 2012
- Dimensions: 9.21 x 6.14 x 0.22 inches
- Shipping Weight: 0.35 pounds
- Page Count: 95
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