03215nam a22004815i 4500 ssj0002239104 WaSeSS 20220425101546.0 m d cr n 191130s2020 xxu| o |||| 0|eng d 9781484253618 10.1007/978-1-4842-5361-8 doi WaSeSS AIMIT LIBRARY Q334-342 UYQ bicssc COM004000 bisacsh UYQ thema 006.32 1 SINH EBOOK Singh, Himanshu. 31436 Deep neuro-fuzzy systems with python : with case studies and applications from the industry / By Himanshu Singh and Yunis Ahmad Lone. 1st ed. New York : Apress , 2020. xv, 260p.; 23 cm. text file PDF rda Chapter 1: Introduction to Fuzzy Set Theory -- Chapter 2: Fuzzy Rules and Reasoning -- Chapter 3: Fuzzy Inference Systems -- Chapter 4: Introduction to Machine Learning -- Chapter 5: Artificial Neural Networks -- Chapter 6: Fuzzy Neural Networks -- Chapter 7: Advanced Fuzzy Networks. Requires an SPL library card. Gain insight into fuzzy logic and neural networks, and how the integration between the two models makes intelligent systems in the current world. This book simplifies the implementation of fuzzy logic and neural network concepts using Python. You'll start by walking through the basics of fuzzy sets and relations, and how each member of the set has its own membership function values. You'll also look at different architectures and models that have been developed, and how rules and reasoning have been defined to make the architectures possible. The book then provides a closer look at neural networks and related architectures, focusing on the various issues neural networks may encounter during training, and how different optimization methods can help you resolve them. In the last section of the book you'll examine the integrations of fuzzy logics and neural networks, the adaptive neuro fuzzy Inference systems, and various approximations related to the same. You'll review different types of deep neuro fuzzy classifiers, fuzzy neurons, and the adaptive learning capability of the neural networks. The book concludes by reviewing advanced neuro fuzzy models and applications. . Mode of access: World Wide Web. Introduction to fuzzy set theory 31437 Fuzzy rules and reasoning 31438 Artificial neural networks 31439 Electronic books. local 31440 Lone, Yunis Ahmad. 31441 Springer eBooks Printed edition: 9781484253601 Printed edition: 9781484253625 View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition. https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484253618/?ar An e-book available through full-text database. ddc BK 1st 006.32 SINH 222593 222593 03647988 0 0 ddc 0 0 MCA AIMIT AIMIT 2022-03-24 Biblios Book Point 699.00 Bill no:6623; Bill dt:2022-03-23 0 006.32 SINH MCA17047 2026-05-23 00:00:00 559.00 2022-04-25 BK