书目名称 | Deep Neuro-Fuzzy Systems with Python | 副标题 | With Case Studies an | 编辑 | Himanshu Singh,Yunis Ahmad Lone | 视频video | | 概述 | Explains deep neuro-fuzzy systems with applications and mathematical details.Implementations of all the applications using Python.Covers the recent applications of neuro fuzzy inference systems in ind | 图书封面 |  | 描述 | .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. ..What You’ | 出版日期 | Book 2020 | 关键词 | Fuzzy Logic; Python; Neural Networks; Neuro Fuzzy Inference System; Hybrid Modelling; Fuzzy Sets | 版次 | 1 | doi | https://doi.org/10.1007/978-1-4842-5361-8 | isbn_softcover | 978-1-4842-5360-1 | isbn_ebook | 978-1-4842-5361-8 | copyright | Himanshu Singh, Yunis Ahmad Lone 2020 |
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