000 -LEADER |
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003 - CONTROL NUMBER IDENTIFIER |
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OSt |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20140310143350.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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120215s2012 gw | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9783642280856 |
|
978-3-642-28085-6 |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
670 |
Edition number |
23 |
264 #1 - |
-- |
Berlin, Heidelberg : |
-- |
Springer Berlin Heidelberg, |
-- |
2012. |
912 ## - |
-- |
ZDB-2-ENG |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Quiza, Ramón. |
Relator term |
author. |
245 10 - IMMEDIATE SOURCE OF ACQUISITION NOTE |
Title |
Hybrid Modeling and Optimization of Manufacturing |
Medium |
[electronic resource] : |
Remainder of title |
Combining Artificial Intelligence and Finite Element Method / |
Statement of responsibility, etc |
by Ramón Quiza, Omar López-Armas, J. Paulo Davim. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
VIII, 95p. 67 illus. |
Other physical details |
online resource. |
440 1# - SERIES STATEMENT/ADDED ENTRY--TITLE |
Title |
SpringerBriefs in Applied Sciences and Technology, |
International Standard Serial Number |
2191-530X |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
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 ## - SUMMARY, ETC. |
Summary, etc |
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 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Engineering. |
|
Topical term or geographic name as entry element |
Materials. |
|
Topical term or geographic name as entry element |
Structural control (Engineering). |
|
Topical term or geographic name as entry element |
Engineering. |
|
Topical term or geographic name as entry element |
Operating Procedures, Materials Treatment. |
|
Topical term or geographic name as entry element |
Continuum Mechanics and Mechanics of Materials. |
|
Topical term or geographic name as entry element |
Computational Intelligence. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
López-Armas, Omar. |
Relator term |
author. |
|
Personal name |
Davim, J. Paulo. |
Relator term |
author. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9783642280849 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
http://dx.doi.org/10.1007/978-3-642-28085-6 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) |
Source of classification or shelving scheme |
|
Item type |
E-Book |