ENGLISH

Deep Neuro-Fuzzy Systems with Python: With Case Studies and Applications from the Industry

Book information

Publisher
Apress
Year
2020
ISBN
978-1-4842-5360-1, 978-1-4842-5361-8
Language
english
Format
PDF
Filesize
7 MB (6897232 bytes)
Edition
1st ed.
Pages
XV, 260\270
Time added
2020-02-08 04:40:56

Description

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’ll Learn Understand fuzzy logic, membership functions, fuzzy relations, and fuzzy inferenceReview neural networks, back propagation, and optimizationWork with different architectures such as Takagi-Sugeno model, Hybrid model, genetic algorithms, and approximations Apply Python implementations of deep neuro fuzzy system Who This book Is For Data scientists and software engineers with a basic understanding of Machine Learning who want to expand into the hybrid applications of deep learning and fuzzy logic. Front Matter ....Pages i-xv Introduction to Fuzzy Set Theory (Himanshu Singh, Yunis Ahmad Lone)....Pages 1-34 Fuzzy Rules and Reasoning (Himanshu Singh, Yunis Ahmad Lone)....Pages 35-92 Fuzzy Inference Systems (Himanshu Singh, Yunis Ahmad Lone)....Pages 93-127 Introduction to Machine Learning (Himanshu Singh, Yunis Ahmad Lone)....Pages 129-156 Artificial Neural Networks (Himanshu Singh, Yunis Ahmad Lone)....Pages 157-198 Fuzzy Neural Networks (Himanshu Singh, Yunis Ahmad Lone)....Pages 199-221 Advanced Fuzzy Networks (Himanshu Singh, Yunis Ahmad Lone)....Pages 223-251 Back Matter ....Pages 253-260

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