"Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)" - Information and Links:

Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59) - Info and Reading Options

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The cover of “Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)” - Open Library.

"Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)" was published by World Scientific Publishing Company in June 2004, it has 396 pages and the language of the book is English.


“Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)” Metadata:

  • Title: ➤  Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)
  • Author:
  • Language: English
  • Number of Pages: 396
  • Publisher: ➤  World Scientific Publishing Company
  • Publish Date:

“Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)” Subjects and Themes:

Edition Specifications:

  • Format: Hardcover
  • Weight: 1.6 pounds
  • Dimensions: 8.9 x 5.9 x 1 inches

Edition Identifiers:

AI-generated Review of “Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)”:


Snippets and Summary:

As information techniques including their theory and applications develop further, the studying objects related have become highly nonlinear and complicated systems, in which natural linguistic information and data information coexist [40].

"Fuzzy Neural Network Theory and Application (Series in Machine Perception and Artificial Intelligence, Vol. 59)" Description:

The Open Library:

"This book systematically synthesizes research achievements in the field of fuzzy neural networks in recent years. It also provides a comprehensive presentation of the developments in fuzzy neural networks, with regard to theory as well as their application to system modeling and image restoration. Special emphasis is placed on the fundamental concepts and architecture analysis of fuzzy neural networks. This book is unique in treating all kinds of fuzzy neural networks and their learning algorithms and universal approximations, and employing simulation examples which are carefully designed to help the reader grasp the underlying theory. This is a valuable reference for scientists and engineers working in mathematics, computer science, control or other fields related to information processing. It can also be used as a textbook for graduate courses in applied mathematics, computer science, automatic control and electrical engineering."--BOOK JACKET.

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