Concepts of Soft Computing

Fuzzy and ANN with Programming

Snehashish Chakraverty, Deepti Moyi Sahoo, Nisha Rani Mahato (Autoren)

Buch | Hardcover

195 Seiten

2019 | 1st ed. 2019
Springer Verlag, Singapore
978-981-13-7429-6 (ISBN)

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This book discusses soft computing, which provides an efficient platform to deal with imprecision, uncertainty, vagueness and approximation in order to attain robustness and reliable computing. It explores two major concepts of soft computing: fuzzy set theory and neural networks, which relate to uncertainty handling and machine learning techniques respectively. Generally, fuzzy sets are considered as vague or uncertain sets having membership function lying between 0 and 1, and ANN is a type of artificial intelligence that attempts to imitate the way a human brain works by configuring specific applications, for instance pattern recognition or data classification, through learning processes.
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

Prof. Snehashish Chakraverty has 27 years of experience as a researcher and is currently a Professor at the Department of Mathematics at National Institute of Technology, Rourkela, Odisha. He holds an M.Sc. in Mathematics, M.Phil. in Computer Applications and a Ph.D. from IIT Roorkee. He then pursued postdoctoral research at the Institute of Sound and Vibration Research (ISVR), University of Southampton, U.K. and at the Faculty of Engineering and Computer Science, Concordia University, Canada. He has authored about 14 books and published more than 314 research papers in respected journals and conferences.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.

Soft Computing.- Intervals.- Fuzzy Sets.- Fuzzy Numbers.- Fuzzy Relations.- Fuzzy Functions.- Fuzzy differentiation and integration.- Defuzzification.- Interval system of linear equations.- Interval eigenvalue problems.

Erscheinungsdatum	20.05.2019
Zusatzinfo	38 Illustrations, color; 184 Illustrations, black and white; XXII, 195 p. 222 illus., 38 illus. in color.
Verlagsort	Singapore
Sprache	englisch
Maße	155 x 235 mm
Themenwelt	Mathematik / Informatik ► Informatik ► Netzwerke
	Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik
	Informatik ► Weitere Themen ► Hardware
Schlagworte	Artificial Neural Network • Back Propogation Algorithm • Interval Eigenvalue Problems • Intervals and Fuzzy sets • Interval System of Equations
ISBN-10	981-13-7429-5 / 9811374295
ISBN-13	978-981-13-7429-6 / 9789811374296
Zustand	Neuware