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Titlebook: Concepts of Soft Computing; Fuzzy and ANN with P Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Ran Textbook 2019 Springer Nature Singapore

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發(fā)表于 2025-3-21 20:02:13 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Concepts of Soft Computing
副標(biāo)題Fuzzy and ANN with P
編輯Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Ran
視頻videohttp://file.papertrans.cn/235/234949/234949.mp4
概述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 dyna
圖書封面Titlebook: Concepts of Soft Computing; Fuzzy and ANN with P Snehashish Chakraverty,Deepti Moyi Sahoo,Nisha Ran Textbook 2019 Springer Nature Singapore
描述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.
出版日期Textbook 2019
關(guān)鍵詞Intervals and Fuzzy sets; Interval System of Equations; Interval Eigenvalue Problems; Artificial Neural
版次1
doihttps://doi.org/10.1007/978-981-13-7430-2
isbn_ebook978-981-13-7430-2
copyrightSpringer Nature Singapore Pte Ltd. 2019
The information of publication is updating

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發(fā)表于 2025-3-21 22:40:42 | 只看該作者
rocesses..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.978-981-13-7430-2
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發(fā)表于 2025-3-22 03:40:33 | 只看該作者
Interval System of Linear Equationsfor handling uncertain parameters or values having infimum and supremum. In Chap. 1, the notion of interval matrix has been introduced and as such, this chapter deals with application of interval matrices for solving interval system of linear equations (ISLEs). Further, the chapter includes certain
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: The Intermediate Value Theorem,terval eigenvalue problems.?Chapter 8 dealt with solving interval system of linear equations using interval analysis and in this chapter, we have focused on solving?eigenvalue problems having interval parameters.
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Convergence in Topological Spaces,eliminaries related to fuzzy sets, its membership function, and operaions of fuzzy sets have been discussed here. Further, C and/or MATLAB programming codes have been included for computational verification.
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A Topological View of Sheaf Cohomology,sical real numbers and its arithmetic.?There exist different types of fuzzy numbers, but for the sake of completeness of the chapter, triangular, trapezoidal, and Gaussian fuzzy numbers based on the membership functions have only been included here. Further, the conversions of these fuzzy numbers to
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https://doi.org/10.1007/978-3-319-16958-3his book. Due to the involvement of such uncertainties, the parameters considered in real-world problems may be expressed as fuzzy sets instead of crisp sets. The methodology of transformation of a crisp set to appropriate fuzzy set is referred as ..?On the other hand, defuzzification may be conside
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