Materials design using computational intelligence techniques

✍ Scribed by Datta, Shubhabrata

Publisher: CRC Press
Year: 2017
Tongue: English
Leaves: 184
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Content: 1. Introduction --
2. Conventional approaches to materials design --
3. Statistics and data mining concepts in materials design --
4. Neural networks and genetic programming for materials modelling --
5. Knowledge extraction using fuzzy and rough set theories --
6. Handling imprecise knowledge through fuzzy inference systems --
7. Evolutionary algorithms for designing materials --
8. Using computational intelligence techniques in tandem --
9. Concluding remarks.

✦ Subjects

Materials;Mathematical models.;Computational intelligence.;TECHNOLOGY & ENGINEERING;Engineering (General);TECHNOLOGY & ENGINEERING;Reference.

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