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Genetic Fuzzy Systems
Genetic Fuzzy Systems

In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to...

Collaborative Geographic Information Systems
Collaborative Geographic Information Systems
Many advances in the integration of group spatial modeling, geographic information systems (GIS), and the Internet have occurred in recent years; however, there is a lack of materials to highlight the transdisciplinary characteristics and impacts of this convergence while providing a uniform and consistent treatment of this expanding field of...
Computer-Aided Intelligent Recognition Techniques and Applications
Computer-Aided Intelligent Recognition Techniques and Applications
Intelligent recognition methods have recently proven to be indispensable in a variety of modern industries, including computer vision, robotics, medical imaging, visualization and the media. Furthermore, they play a critical role in the traditional fields such as character recognition, natural language processing and personal identification.

...

Fuzzy Control Systems
Fuzzy Control Systems
Must reading for anyone interested in acquiring a thorough understanding of fuzzy logic, its role in soft computing, and its application to control and related fields.

-Lotfi A. Zadeh
From the Foreword

Fuzzy Control Systems explores one of the most active areas of research involving fuzzy set theory. The
...
Fuzzy Logic and Intelligent Systems (International Series in Intelligent Technologies)
Fuzzy Logic and Intelligent Systems (International Series in Intelligent Technologies)
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....
Hybrid Architectures for Intelligent Systems
Hybrid Architectures for Intelligent Systems

The interaction between Fuzzy Set theory and Neural Network theory is multi-faceted and occurs at many different levels. The connection between these two concepts occurs both in the framework of real and artificial neural systems.

The brain is not just a collection of neurons grouped together at some part of the animal’s body,...

Hybrid Methods in Pattern Recognition
Hybrid Methods in Pattern Recognition
The discipline of pattern recognition has seen enormous progress since its beginnings more than four decades ago. Over the years various approaches have emerged, based on statistical decision theory, structural matching and parsing, neural networks, fuzzy logic, artificial intelligence, evolutionary computing, and others. Obviously, these...
Advances in Information Processing and Protection
Advances in Information Processing and Protection
This book contains a selection of the best papers given at the Advanced Computer Systems Conference in October 2006 in Poland. The book is partitioned into four topical areas:

The Artificial Intelligence section includes papers on Humatronics, Fuzzy Logic, Robotics, Cell, Genetic and Probabilistic Algorithms, Incomplete Data and Similarity...

Rough  Granular Computing in Knowledge Discovery and Data Mining (Studies in Computational Intelligence)
Rough Granular Computing in Knowledge Discovery and Data Mining (Studies in Computational Intelligence)

The book "Rough-Granular Computing in Knowledge Discovery and Data Mining" written by Professor Jaroslaw Stepaniuk is dedicated to methods based on a combination of the following three closely related and rapidly growing areas: granular computing, rough sets, and knowledge discovery and data mining (KDD). In the book, the KDD...

Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms (Studies in Computational Intelligence)
Intelligent Control: A Hybrid Approach Based on Fuzzy Logic, Neural Networks and Genetic Algorithms (Studies in Computational Intelligence)

Intelligent Control considers non-traditional modelling and control approaches to nonlinear systems. Fuzzy logic, neural networks and evolutionary computing techniques are the main tools used. The book presents a modular switching fuzzy logic controller where a PD-type fuzzy controller is executed first followed by a PI-type...

C++ Neural Networks and Fuzzy Logic
C++ Neural Networks and Fuzzy Logic

The number of models available in neural network literature is quite large. Very often the treatment is mathematical and complex. This book provides illustrative examples in C++ that the reader can use as a basis for further experimentation. A key to learning about neural networks to appreciate their inner workings is to experiment. Neural...

Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods
Do Smart Adaptive Systems Exist?: Best Practice for Selection and Combination of Intelligent Methods

Do Smart Adaptive Systems Exist? is intended as a reference and a guide summarising and focusing on best practices when using intelligent techniques and building systems requiring a degree of adaptation and intelligence.

It is therefore not intended as a collection of the most recent research results, but as a practical...

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