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Fuzzy Logic And Neural Networks For Hybrid Intelligent System Design (Studies In Computational Intelligence, 1061)

Fuzzy Logic And Neural Networks For Hybrid Intelligent System Design (Studies In Computational Intelligence, 1061)

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Product Details
Author:
Oscar Castillo, Patricia Melin
Publisher:
Springer
Publication Date:
Jan 28, 2023
Number of pages:
262 pages
Language:
English
Binding:
Hardcover
ISBN-10:
3031220412
ISBN-13:
9783031220418

Overview

This book covers recent developments on fuzzy logic, neural networks and optimization algorithms, as well as their hybrid combinations. In addition, the above-mentioned methods are applied to areas such as intelligent control and robotics, pattern recognition, medical diagnosis, time series prediction and optimization of complex problems. Nowadays, the main topic of the book is highly relevant, as most current intelligent systems and devices in use utilize some form of intelligent feature to enhance their performance. In addition, on the theoretical side, new and advanced models and algorithms of type-2 and type-3 fuzzy logic are presented, which are of great interest to researchers working on these areas. Also, new nature-inspired optimization algorithms and innovative neural models are put forward in the manuscript, which are very popular subjects, at this moment. There are contributions on theoretical aspects as well as applications, which make the book very appealing to a wide audience, ranging from researchers to professors and graduate students.


  • | Author: Oscar Castillo, Patricia Melin
  • | Publisher: Springer
  • | Publication Date: Jan 28, 2023
  • | Number of Pages: 262 pages
  • | Language: English
  • | Binding: Hardcover
  • | ISBN-10: 3031220412
  • | ISBN-13: 9783031220418

Categories

Hardcover/Technology & Engineering

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