Materials Design Using Computational Intelligence Techniques

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Shubhabrata Datta (Department of Mechanical Engineeing, SRM University, Kattankulathur, Chennai, India)

Materials Design Using Computational Intelligence Techniques

Shubhabrata Datta (Department of Mechanical Engineeing, SRM University, Kattankulathur, Chennai, India)

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English

CRC Press Inc
18 October 2016

Materials science; Artificial intelligence

Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are developed through capturing the inherent correlations among the variables on the basis of available imprecise knowledge in the form of rules or database, as well as through the extraction of knowledge from experimental or industrial database, and using optimization tools.

By: Shubhabrata Datta (Department of Mechanical Engineeing SRM University Kattankulathur Chennai India)
Imprint: CRC Press Inc
Country of Publication: United States
Dimensions: Height: 234mm, Width: 156mm, Spine: 15mm
Weight: 385g
ISBN: 9781482238327
ISBN 10: 1482238322
Pages: 184
Publication Date: 18 October 2016
Audience: General/trade , College/higher education , Professional and scholarly , ELT Advanced , Primary
Format: Hardback
Publisher's Status: Active

Shubhabrata Datta

Reviews for Materials Design Using Computational Intelligence Techniques

Intelligent computing techniques of diverse kinds are now very significantly influencing novel material design. In the current state of technology and the industrial requirements, these are some vital tools to make the design efficient, along with a lesser dependence on expensive and cumbersome experimentation. Such techniques are now ubiquitous and are widely used across disciplines. A good research based book focusing exclusively on their applications pertinent to the materials area is not very easy to locate. For that this very impressive book is just in time. The wide gamut of algorithms and their applications that it presents is very impressive. It is nice to see widely used Finite element technique and evolutionary techniques like Genetic Programming inside the same cover along with their pertinent applications. This book will be very useful for the scholars and researchers in this area and should be very useful for the classroom teaching of an advanced course in the area of Computational Materials Science. - Nirupam Chakraborti, Indian Institute of Technology, India