Deep Neuro-Fuzzy Systems with Python

With Case Studies and Applications from the Industry

  • Himanshu Singh
  • Yunis Ahmad Lone

Table of contents

  1. Front Matter
    Pages i-xv
  2. Himanshu Singh, Yunis Ahmad Lone
    Pages 1-34
  3. Himanshu Singh, Yunis Ahmad Lone
    Pages 35-92
  4. Himanshu Singh, Yunis Ahmad Lone
    Pages 93-127
  5. Himanshu Singh, Yunis Ahmad Lone
    Pages 129-156
  6. Himanshu Singh, Yunis Ahmad Lone
    Pages 157-198
  7. Himanshu Singh, Yunis Ahmad Lone
    Pages 199-221
  8. Himanshu Singh, Yunis Ahmad Lone
    Pages 223-251
  9. Back Matter
    Pages 253-260

About this book


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. 


Fuzzy Logic Python Neural Networks Neuro Fuzzy Inference System Hybrid Modelling Fuzzy Sets

Authors and affiliations

  • Himanshu Singh
    • 1
  • Yunis Ahmad Lone
    • 2
  1. 1.AllahabadIndia
  2. 2.HyderabadIndia

Bibliographic information