Overview
- Covers the basics of classical interval arithmetic, fuzzy set theory, and ANN
- Discusses applications of intervals and fuzzy sets in equation systems and eigenvalue problems for solving static and dynamic structural problems
- Includes solved and unsolved problems
- Provides step-by-step C and/or MATLAB codes
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About this book
The book also presents C/MATLAB programming codes related to the basics of fuzzy set, interval arithmetic and ANN in a concise, practical and adaptable manner along, with simple examples and self-validation unsolved practice questions in few cases
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Keywords
Table of contents (14 chapters)
Authors and Affiliations
About the authors
Prof. Chakraverty is on the editorial boards of various international journals, book series and conferences and is also the chief editor of the International Journal of Fuzzy Computation and Modelling (IJFCM), Inderscience Publisher, Switzerland and is a guest editor for various other journals. He is recipient of few prestigious awards viz. Indian National ScienceAcdemy (INSA) nomination under International Collaboration/Bilateral Exchange Program (with Czech Republic), Platinum Jubilee ISCA Lecture Award (2014), CSIR Young Scientist (1997), BOYSCAST (DST), UCOST Young Scientist (2007, 2008), Golden Jubilee Director’s (CBRI) Award (2001), Roorkee University Gold Medals (1987, 1988) for first positions in M. Sc. and M. Phil. etc. His current research areas include soft computing and machine intelligence, artificial neural networks, fuzzy and interval computations, numerical analysis, differential equations, mathematical modelling, uncertainty modelling, vibration and inverse vibration problems.
Dr. Deepti Moyi Sahoo is currently Assistant Professsor at O.P. Jindal University, Punjipathra, Raigarh, Chhattisgarh in the Department of Mathematics. She completed her Master of Science degree in Mathematics at National Institute of Technology, in 2010. She received her Ph.D. from the same institute in 2017.
Dr. Sahoo has co-authoredgood number of research papers and a book chapter. Her current research areas include interval analysis, fuzzy set theory, artificial neural networks, interval and fuzzy neural networks, functional link neural networks and structural system identification problems.
Nisha Rani Mahato is currently pursuing her Ph.D. at the Department of Mathematics at the National Institute of Technology, Rourkela, Odisha. She completed her Master of Science degree in Mathematics at the National Institute of Technology, in 2011. She was awarded Raman Charpak Fellowship-2016 (RCF-2016) by CEFIPRA, New Delhi. Also, she had been awarded best paper at the 38th Annual Conference of Orissa Mathematical Society in 2011 and best poster in mathematics at Research Scholar Week 2018, NIT Rourkela.
She has participated in various conferences/workshops and published good number of research papers, a book chapter and a book. Her current research areas include interval analysis, fuzzy set theory, interval/fuzzy eigenvalue problems, interval/fuzzy simultaneous equations and interval/fuzzy differential equations.
Bibliographic Information
Book Title: Concepts of Soft Computing
Book Subtitle: Fuzzy and ANN with Programming
Authors: Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato
DOI: https://doi.org/10.1007/978-981-13-7430-2
Publisher: Springer Singapore
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2019
Hardcover ISBN: 978-981-13-7429-6Published: 13 May 2019
eBook ISBN: 978-981-13-7430-2Published: 30 April 2019
Edition Number: 1
Number of Pages: XXII, 195
Number of Illustrations: 184 b/w illustrations, 38 illustrations in colour
Topics: Computer Systems Organization and Communication Networks, Artificial Intelligence