Learn IT - Books tags fuzzy

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...

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...

Multiple Criteria Decision Analysis:State of the Art Surveys (International Series in Operations Research & Management Science)

Springer, 2004

ULTIPLE CRITERIA DECISION ANALYSIS: State of the Art Surveys is the most comprehensive work available to survey the state of the art in MCDA to date. Its 25 chapters are organized in eight parts and are written by 52 international leading experts. Each of these parts covers one of the central streams of multiple criteria decision analysis...

AI for Game Developers

O'Reilly, 2004

Written for the novice AI programmer, AI for Game Developers introduces you to techniques such as finite state machines, fuzzy logic, neural networks, and many others, in straightforward, easy-to-understand language, supported with code samples throughout the entire book (written in C/C++). From basic...

Fuzzy Group Theory (Studies in Fuzziness and Soft Computing)

Springer, 2005

From the reviews of the first edition:

"The purpose of this book is to present an up to date account of fuzzy subgroups of a group, it is the first book dedicated entirely to the rapidly growing field of fuzzy group theory. … The book represents a major contribution to the literature on fuzzy groups. It is...

Computational Intelligence: Principles, Techniques and Applications

Springer, 2005

Computational Intelligence: Principles, Techniques and Applications presents both theories and applications of computational intelligence in a clear, precise and highly comprehensive style. The textbook addresses the fundamental aspects of fuzzy sets and logic, neural networks, evolutionary computing and belief networks. The...

Computational Intelligence: Methods and Techniques

Springer, 2008

This book focuses on various techniques of computational intelligence, both single ones and those which form hybrid methods. Those techniques are today commonly applied issues of artificial intelligence, e.g. to process speech and natural language, build expert systems and robots. The first part of the book presents methods of knowledge...

Real-Time Volume Graphics

AK Peter, 2006

IN TRADITIONAL COMPUTER GRAPHICS, 3D objects are created using highlevel surface representations such as polygonal meshes, NURBS (nonuniform rational B-spline) patches, or subdivision surfaces. Using this modeling paradigm, visual properties of surfaces, such as color, roughness, and reflectance, are described by means of a shading...

Computational Intelligence for Movement Sciences: Neural Networks and Other Emerging Techniques

Idea Group Publishing, 2006

Recent years have seen many new developments in computational intelligence (CI) techniques and, consequently, this has led to an exponential increase in the number of applications in a variety of areas, including: engineering, finance, social and biomedical. In particular, CI techniques are increasingly being used in biomedical and human movement...

Computational Intelligence: An Introduction

John Wiley & Sons, 2003

Can computers be intelligent?

This question causes even more debate than the definitions of intelligence do.

Computational intelligence is the study of adaptive mechanisms to enable or facilitate intelligent behaviour in complex and changing environments. As such, computational intelligence encompasses artificial neural networks,...

Fuzzy Probabilities: New Approach and Applications (Studies in Fuzziness and Soft Computing)

Springer, 1999

In probability and statistics we often have to estimate probabilities and parameters in probability distributions using a random sample. Instead of using a point estimate calculated from the data we propose using fuzzy numbers which are constructed from a set of confidence intervals. In probability calculations we apply constrained fuzzy arithmetic...

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...

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