International Intelligent Technologies

By: Larisa Angstenberger

Write A Review

Hardcover | 31 October 2001

At a Glance

Hardcover
316 Pages

Dimensions(cm)
23.5 x 15.88 x 2.54

Hardcover

$169.00

or 4 interest-free payments of $42.25 with

Ships in 5 to 7 business days

Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification.

Industry Reviews

`The book could be considered as a lucid, clear and well to read theoretical treatise about fuzzy dynamic pattern recognition. It is particularly commendable that Dr. Angstenberger does not stop here, but that she shows very clearly how her suggestions really work in applications.
In my view this book really presents a breakthrough in a new area of pattern recognition. It will certainly be the basis for many other research projects and real applications. I can only congratulate her to this excellent scientific and application oriented work and hope that it may be of benefit to many scientists and practitioners.'
From the foreword by H.-J. Zimmermann, Aachen, Germany, January 2001

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

Foreword
Acknowledgements
Introduction	p. 1
General Framework of Dynamic Pattern Recognition	p. 7
Stages of the Dynamic Pattern Recognition Process	p. 37
Dynamic Fuzzy Classifier Design with Point-Prototype Based Clustering Algorithms	p. 79
Similarity Concepts for Dynamic Objects in Pattern Recognition	p. 155
Applications of Dynamic Pattern Recognition Methods	p. 199
Conclusions	p. 265
References	p. 269
Unsupervised Optimal Fuzzy Clustering Algorithm of Gath and Geva	p. 279
Description of Implemented Software	p. 282
Index	p. 285
Table of Contents provided by Blackwell. All Rights Reserved.

International Intelligent Technologies

At a Glance

Hardcover

Industry Reviews

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Computer Vision

Reinforcement Learning in Action

From Foundations to Frontier AI

Reinforcement Learning in Action

From Foundations to Frontier AI

Hands-On Machine Learning with Scikit-Learn and PyTorch

Concepts, Tools, and Techniques to Build Intelligent Systems

How to See Like a Machine

Images After AI

Mathematics for Machine Learning

AI

Unexplainable, Unpredictable, Uncontrollable

Practical Machine Learning for Computer Vision

End-to-End Machine Learning for Images

Data Science on AWS

Implementing End-To-End, Continuous AI and Machine Learning Pipelines

Intelligent Automated Defect Detection

AI Solutions for Roads, Welding, and Industrial Inspection

ARCHITECTING HUMAN-CENTRIC AI SYSTEMS

AUGMENTED INTELLIGENCE

Superhuman

Beyond the Limits of Our Intelligence

Practical Applications of Artificial Intelligence in Education

For Early Childhood Education, Primary, Secondary, Baccalaureate and Vocational Training

AI for Human-Computer Interaction

AI for Everything

Deep Learning

Principles and Implementations

Orthorectification of High-Resolution Remotely Sensed Images

Quantum Machine Learning

Theory, Algorithms, and Practical Implementation

Artificial Intelligence

Foundations, Ethics, and Real-World Applications

Brain-Inspired AI for Sustainable Development

Knowledge-based Engineering for Innovation

Artificial Intelligence and Risk Analysis in Projects

Deep Learning with R, Third Edition

Cinema and Machine Vision

Artificial Intelligence, Aesthetics and Spectatorship

Superagency

What Could Possibly Go Right with Our AI Future

Computer Vision and Machine Intelligence for Renewable Energy Systems

Advances in Intelligent Energy Systems

Tiny ML

Machine Learning with Tensorflow Lite on Arduino and Ultra-Low-Power Microcontrollers

This product is categorised by