Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

Nonfiction, Science & Nature, Technology, Electricity, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj, Springer Berlin Heidelberg
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Serkan Kiranyaz, Turker Ince, Moncef Gabbouj ISBN: 9783642378461
Publisher: Springer Berlin Heidelberg Publication: July 16, 2013
Imprint: Springer Language: English
Author: Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
ISBN: 9783642378461
Publisher: Springer Berlin Heidelberg
Publication: July 16, 2013
Imprint: Springer
Language: English

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach.

 

After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets.

 

The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

For many engineering problems we require optimization processes with dynamic adaptation as we aim to establish the dimension of the search space where the optimum solution resides and develop robust techniques to avoid the local optima usually associated with multimodal problems. This book explores multidimensional particle swarm optimization, a technique developed by the authors that addresses these requirements in a well-defined algorithmic approach.

 

After an introduction to the key optimization techniques, the authors introduce their unified framework and demonstrate its advantages in challenging application domains, focusing on the state of the art of multidimensional extensions such as global convergence in particle swarm optimization, dynamic data clustering, evolutionary neural networks, biomedical applications and personalized ECG classification, content-based image classification and retrieval, and evolutionary feature synthesis. The content is characterized by strong practical considerations, and the book is supported with fully documented source code for all applications presented, as well as many sample datasets.

 

The book will be of benefit to researchers and practitioners working in the areas of machine intelligence, signal processing, pattern recognition, and data mining, or using principles from these areas in their application domains. It may also be used as a reference text for graduate courses on swarm optimization, data clustering and classification, content-based multimedia search, and biomedical signal processing applications.

More books from Springer Berlin Heidelberg

Cover of the book Emissions Trading by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Logic, Language, and Computation by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Transactions on Large-Scale Data- and Knowledge-Centered Systems XLI by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Manual Medicine 1984 by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Hochschuldidaktik der Pflege und Gesundheitsfachberufe by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Symbolic Action Theory and Cultural Psychology by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Wege aus der Working Capital-Falle by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book The German Energy Transition by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Nevogenesis by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book 100 Clavicula-Pseudarthrosen by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Isotope Low-Dimensional Structures by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Laser Drilling by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book From Publishing to Knowledge Networks by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book The Interaction Between Flexible Plates and Fluid in Two-dimensional Flow by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Cover of the book Hydroformylation for Organic Synthesis by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy