Learn IT - Books tags fuzzy

Data Mining: Concepts, Models, Methods, and Algorithms, Second Edition

John Wiley & Sons, 2011

Now updated—the systematic introductory guide to modern analysis of large data sets

As data sets continue to grow in size and complexity, there has been an inevitable move towards indirect, automatic, and intelligent data analysis in which the analyst works via more complex and sophisticated software tools. This book...

Advances in Fuzzy Object-Oriented Databases: Modeling and Applications

Idea Group Publishing, 2004

Collecting the latest research results from the leading researchers in the field of fuzzy object-oriented databases, Advances in Fuzzy Object-Oriented Databases: Modeling and Applications provide a single source for current research and practical applications in fuzzy object-oriented databases. This book includes major aspects of fuzzy...

E=mc2: A Biography of the World's Most Famous Equation

Berkley, 2001

Already climbing the bestseller lists-and garnering rave reviews-this "little masterpiece"* sheds brilliant light on the equation that changed the world.

"This is not a physics book. It is a history of where the equation [E=mc2] came from and how it has changed the world. After a short chapter on the...

Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach

John Wiley & Sons, 2001

A comprehensive treatment of model-based fuzzy control systems

This volume offers full coverage of the systematic framework for the stability and design of nonlinear fuzzy control systems. Building on the Takagi-Sugeno fuzzy model, authors Tanaka and Wang address a number of important issues in fuzzy control systems, including...

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook

Packt Publishing, 2012

Microsoft SQL Server 2012 Integration Services: An Expert Cookbook is a complete guide for everyone, from a novice to a professional in Integration Services 2012. SQL Server Integration Services is an ETL tool, which stands for Extract Transform and Load. There is a need for a data transfer system in all operational systems these days,...

Hybrid Methods in Pattern Recognition

Wordware Publishing, 2002

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...

Artificial Intelligence: A Guide to Intelligent Systems (2nd Edition)

Addison Wesley, 2004

Provides a practical introduction to artificial intelligence that is less mathematically rigorous than other books on the market. Appropriate for programmers looking for an overview of all facets of artificial intelligence.

[Shelving Category] Artificial Intelligence/Soft Computing

Artificial Intelligence is often perceived...

Fuzzy Algorithms for Control (International Series in Intelligent Technologies)

Springer, 1999

Fuzzy Algorithms for Control gives an overview of the research results of a number of European research groups that are active and play a leading role in the field of fuzzy modeling and control. It contains 12 chapters divided into three parts.

Chapters in the first part address the position of fuzzy systems in control...

Statistics and Probability for Engineering Applications, First Edition

Newnes, 2003

More than ever, American industry especially the semiconductor industry is using statistical methods to improve its competitive edge in the world market. It is becoming more imperative that graduate engineers have solid statistical know-how, yet engineers in industry typically are not well-prepared to use statistics and they are fuzzy about how to...

Fundamentals of the New Artificial Intelligence: Neural, Evolutionary, Fuzzy and More (Texts in Computer Science)

Springer, 2007

This book was originally titled “Fundamentals of the New Artificial Intelligence: Beyond Traditional Paradigms.” I have changed the subtitle to better represent the contents of the book. The basic philosophy of the original version has been kept in the new edition. That is, the book covers the most essential and widely employed material...

Static and Dynamic Neural Networks: From Fundamentals to Advanced Theory

John Wiley & Sons, 2003

With the evolution of our complex technological society and the introduction of new notions and innovative theoretical tools in the field of intelligent systems, the field of neural networks is undergoing an enormous evolution. These evolving and innovative theoretical tools are centered around the theory of soft computing, a theory that embodies...

Nonlinear integrals and their applications in data mining (Advances in Fuzzy Systemss - Applications and Theory)

World Scientific Publishing, 2010

Regarding the set of all feature attributes in a given database as the universal set, this monograph discusses various nonadditive set functions that describe the interaction among the contributions from feature attributes towards a considered target attribute. Then, the relevant nonlinear integrals are investigated. These integrals can be...

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