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Author Kiranyaz, Serkan.

Title Multidimensional particle swarm optimization for machine learning and pattern recognition / Serkan Kiranyaz, Turker Ince, Moncef Gabbouj
Published Berlin ; New York : Springer, [2014]
Online access available from:
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Description 1 online resource (xxviii, 321 pages) : illustrations (some color)
Series Adaptation, learning, and optimization, 1867-4534 ; v. 15
Adaptation, learning and optimization ; v. 15
Contents Introduction -- Optimization Techniques: An Overview -- Particle Swarm Optimization -- Multi-dimensional Particle Swarm Optimization -- Improving Global Convergence -- Dynamic Data Clustering -- Evolutionary Artificial Neural Networks -- Personalized ECG Classification -- Image Classification and Retrieval by Collective Network of Binary Classifiers -- Evolutionary Feature Synthesis
Summary This book explores multidimensional particle swarm optimization, a new optimization technique developed by the authors. 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
Analysis Computer science
Artificial intelligence
Computer engineering
Computational Intelligence
Electrical Engineering
Bibliography Includes bibliographical references
Notes Online resource; title from PDF title page (SpringerLink, viewed July 29, 2013)
Subject Mathematical optimization.
Swarm intelligence.
Machine learning.
Pattern recognition systems.
Form Electronic book
Author Ince, Turker.
Gabbouj, Moncef.
ISBN 3642378463 (electronic bk.)
9783642378461 (electronic bk.)