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.

About the Author
Shubhabrata Datta

Reviews

"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

Book Information
ISBN 9780367574338
Author Shubhabrata Datta
Format Paperback
Page Count 158
Imprint CRC Press
Publisher Taylor & Francis Ltd
Weight(grams) 294g