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What Every Engineer Should Know About Computational Techniques Of Finite Element Analysis Second Edition 2nd Edition Bharat Sundaram Affiliation The University Of Melbourne

  • SKU: BELL-4732338
What Every Engineer Should Know About Computational Techniques Of Finite Element Analysis Second Edition 2nd Edition Bharat Sundaram Affiliation The University Of Melbourne
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What Every Engineer Should Know About Computational Techniques Of Finite Element Analysis Second Edition 2nd Edition Bharat Sundaram Affiliation The University Of Melbourne instant download after payment.

Publisher: CRC Press
File Extension: PDF
File size: 4.14 MB
Pages: 350
Author: Bharat Sundaram Affiliation: The University of Melbourne, Australia; Marimuthu Palaniswani Affiliation: The University of Melbourne, Australia; Alistair Shilton Affiliation: The University of Melbourne, Australia; Rezaul Begg Affiliation: Victoria Univers
ISBN: 9781439802946, 9781439802953, 9781591408369, 1439802947, 1439802955, 1591408369
Language: English
Year: 2009
Edition: 2

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What Every Engineer Should Know About Computational Techniques Of Finite Element Analysis Second Edition 2nd Edition Bharat Sundaram Affiliation The University Of Melbourne by Bharat Sundaram Affiliation: The University Of Melbourne, Australia; Marimuthu Palaniswani Affiliation: The University Of Melbourne, Australia; Alistair Shilton Affiliation: The University Of Melbourne, Australia; Rezaul Begg Affiliation: Victoria Univers 9781439802946, 9781439802953, 9781591408369, 1439802947, 1439802955, 1591408369 instant download after payment.

Computational intelligence (CI) encompasses approaches primarily based on artificial neural networks, fuzzy logic rules, evolutionary algorithms, support vector machines and also approaches that combine two or more techniques (hybrid). These methods have been applied to solve many complex and diverse problems. Recent years have seen many new developments in CI techniques and, consequently, this has led to many applications in a variety of areas including engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems. The main objective of this chapter is to provide a brief description of the major computational intelligence techniques for pattern recognition and modelling tasks that often appear in biomedical, health and human movement research.
Abstract: Computational intelligence (CI) encompasses approaches primarily based on artificial neural networks, fuzzy logic rules, evolutionary algorithms, support vector machines and also approaches that combine two or more techniques (hybrid). These methods have been applied to solve many complex and diverse problems. Recent years have seen many new developments in CI techniques and, consequently, this has led to many applications in a variety of areas including engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement areas because of the complexity of the biological systems. The main objective of this chapter is to provide a brief description of the major computational intelligence techniques for pattern recognition and modelling tasks that often appear in biomedical, health and human movement research

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