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Fuzzy and Neuro-Fuzzy Intelligent Systems

2012-08-10 Computers
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Release : 2012-08-10
Genre : Computers
Kind : eBook
Book Rating : 534/5 ( reviews)

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Book Synopsis Fuzzy and Neuro-Fuzzy Intelligent Systems by : Ernest Czogala

Download or read book Fuzzy and Neuro-Fuzzy Intelligent Systems written by Ernest Czogala. This book was released on 2012-08-10. Available in PDF, EPUB and Kindle. Book excerpt: Intelligence systems. We perfonn routine tasks on a daily basis, as for example: • recognition of faces of persons (also faces not seen for many years), • identification of dangerous situations during car driving, • deciding to buy or sell stock, • reading hand-written symbols, • discriminating between vines made from Sauvignon Blanc, Syrah or Merlot grapes, and others. Human experts carry out the following: • diagnosing diseases, • localizing faults in electronic circuits, • optimal moves in chess games. It is possible to design artificial systems to replace or "duplicate" the human expert. There are many possible definitions of intelligence systems. One of them is that: an intelligence system is a system able to make decisions that would be regarded as intelligent ifthey were observed in humans. Intelligence systems adapt themselves using some example situations (inputs of a system) and their correct decisions (system's output). The system after this learning phase can make decisions automatically for future situations. This system can also perfonn tasks difficult or impossible to do for humans, as for example: compression of signals and digital channel equalization.

Fuzzy Logic and Intelligent Systems

2007-07-07 Mathematics
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Release : 2007-07-07
Genre : Mathematics
Kind : eBook
Book Rating : 002/5 ( reviews)

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Book Synopsis Fuzzy Logic and Intelligent Systems by : Hua Harry Li

Download or read book Fuzzy Logic and Intelligent Systems written by Hua Harry Li. This book was released on 2007-07-07. Available in PDF, EPUB and Kindle. Book excerpt: One of the attractions of fuzzy logic is its utility in solving many real engineering problems. As many have realised, the major obstacles in building a real intelligent machine involve dealing with random disturbances, processing large amounts of imprecise data, interacting with a dynamically changing environment, and coping with uncertainty. Neural-fuzzy techniques help one to solve many of these problems. Fuzzy Logic and Intelligent Systems reflects the most recent developments in neural networks and fuzzy logic, and their application in intelligent systems. In addition, the balance between theoretical work and applications makes the book suitable for both researchers and engineers, as well as for graduate students.

Intelligent and Fuzzy Systems

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Kind : eBook
Book Rating : 953/5 ( reviews)

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Book Synopsis Intelligent and Fuzzy Systems by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Systems written by Cengiz Kahraman. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

An Introduction to Fuzzy Logic Applications in Intelligent Systems

2012-12-06 Computers
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Release : 2012-12-06
Genre : Computers
Kind : eBook
Book Rating : 405/5 ( reviews)

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Book Synopsis An Introduction to Fuzzy Logic Applications in Intelligent Systems by : Ronald R. Yager

Download or read book An Introduction to Fuzzy Logic Applications in Intelligent Systems written by Ronald R. Yager. This book was released on 2012-12-06. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Fuzzy Logic Applications in Intelligent Systems consists of a collection of chapters written by leading experts in the field of fuzzy sets. Each chapter addresses an area where fuzzy sets have been applied to situations broadly related to intelligent systems. The volume provides an introduction to and an overview of recent applications of fuzzy sets to various areas of intelligent systems. Its purpose is to provide information and easy access for people new to the field. The book also serves as an excellent reference for researchers in the field and those working in the specifics of systems development. People in computer science, especially those in artificial intelligence, knowledge-based systems, and intelligent systems will find this to be a valuable sourcebook. Engineers, particularly control engineers, will also have a strong interest in this book. Finally, the book will be of interest to researchers working in decision support systems, operations research, decision theory, management science and applied mathematics. An Introduction to Fuzzy Logic Applications in Intelligent Systems may also be used as an introductory text and, as such, it is tutorial in nature.

Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation

2021-08-23 Technology & Engineering
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Release : 2021-08-23
Genre : Technology & Engineering
Kind : eBook
Book Rating : 775/5 ( reviews)

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Book Synopsis Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation by : Cengiz Kahraman

Download or read book Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation written by Cengiz Kahraman. This book was released on 2021-08-23. Available in PDF, EPUB and Kindle. Book excerpt: This book presents recent research in intelligent and fuzzy techniques. Emerging conditions such as pandemic, wars, natural disasters and various high technologies force people for significant changes in business and social life. The adoption of digital technologies to transform services or businesses, through replacing non-digital or manual processes with digital processes or replacing older digital technology with newer digital technologies through intelligent systems is the main scope of this book. It focuses on revealing the reflection of digital transformation in our business and social life under emerging conditions through intelligent and fuzzy systems. The latest intelligent and fuzzy methods and techniques on digital transformation are introduced by theory and applications. The intended readers are intelligent and fuzzy systems researchers, lecturers, M.Sc. and Ph.D. students studying digital transformation. Usage of ordinary fuzzy sets and their extensions, heuristics and metaheuristics from optimization to machine learning, from quality management to risk management makes the book an excellent source for researchers.

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