Deep Neuro-Fuzzy Systems with Python : With Case Studies and Applications from the Industry / by Himanshu Singh, Yunis Ahmad Lone.

Format:

Book

Author/Creator:

Singh, Himanshu., Author.

Lone, Yunis Ahmad., Author.

Language:

English

Subjects (All):

Artificial intelligence.

Python (Computer program language).

Open source software.

Computer programming.

Artificial Intelligence.

Python.

Open Source.

Local Subjects:

Artificial Intelligence.

Python.

Open Source.

Physical Description:

1 online resource (270 pages)

Edition:

1st ed. 2020.

Place of Publication:

Berkeley, CA : Apress : Imprint: Apress, 2020.

System Details:

text file

Summary:

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. .

Contents:

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.

Notes:

Includes index.

ISBN:

9781484253618

1484253612

OCLC:

1140553238