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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systems and eigenvalue problems for solving static and dynaThis 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 computi

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On the property of Kelley in hyperspaces,zy functions based on crisp relations along with the concepts of single and fuzzy bunch of crisp functions. Moreover, C or MATLAB codes related to fuzzy functions have also been included in this chapter.

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Toposes, Algebraic Geometry and Logicedforward neural network, delta learning rule. Error back propagation algorithm for unipolar and bipolar activation function are included in this chapter. Matlab program for calculating output for a multilayer neural network using error back propagation algorithm is also given in the chapter.

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Textbook 2019o 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 fun

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Intervalsset theory and artificial neural network, that are discussed in subsequent chapters. In case of fuzzy sets, fuzzy number gets converted to interval form using .-cut as given in Chap. .. As such, preliminaries related to intervals and interval matrices have been discussed in this chapter. The chapter

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