001 -Identificacion Principal del registro
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Identificacion Principal del registro
INGC-EBK-000622
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003 -Control Number Identifier
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Control Number Identifier
AR-LpUFI
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005 -LAST MODIFICATION DATE
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LAST MODIFICATION DATE
20160831165147
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007 -CONTROL FIELD
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CONTROL FIELD
cr nn 008mamaa
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008 -CONTROL FIELD
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CONTROL FIELD
130716s2014 gw | s |||| 0|eng d
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020 -INTERNATIONAL STANDARD BOOK NUMBER
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a
International Standard Book Number
9783642378461
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024 -OTHER STANDARD IDENTIFIER
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a
Standard number or code
10.1007/978-3-642-37846-1
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100 -MAIN ENTRY--PERSONAL NAME
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a
Personal name
Kiranyaz, Serkan.
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245 -TITLE STATEMENT
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a
Title
Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition
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h
Medium
[libro electrónico] /
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c
Statement of responsibility, etc
by Serkan Kiranyaz, Turker Ince, Moncef Gabbouj.
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260 -PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
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a
Place of publication, distribution, etc
Berlin, Heidelberg :
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b
Name of publisher, distributor, etc
Springer Berlin Heidelberg :
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b
Name of publisher, distributor, etc
Imprint: Springer,
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c
Date of publication, distribution, etc
2014.
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300 -PHYSICAL DESCRIPTION
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a
Extent
xxviii, 321 p. :
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490 -SERIES STATEMENT
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a
Series statement
Adaptation, Learning, and Optimization,
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x
International Standard Serial Number
1867-4534 ;
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v
Volume number/sequential designation
15
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505 -FORMATTED CONTENTS NOTE
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a
Formatted contents note
Chap. 1 Introduction -- Chap. 2 Optimization Techniques -- Chap. 3 Particle Swarm Optimization -- Chap. 4 Multidimensional Particle Swarm Optimization -- Chap. 5 Improving Global Convergence -- Chap. 6 Dynamic Data Clustering -- Chap. 7 Evolutionary Artificial Neural Networks -- Chap. 8 Personalized ECG Classification -- Chap. 9 Image Classification Through a Collective Network of Binary Classifiers -- Chap. 10 Evolutionary Feature Synthesis for Image Retrieval.
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520 -SUMMARY, ETC.
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a
Summary, etc
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. Â 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. Â 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.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Computer Science.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Artificial Intelligence (incl. Robotics).
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Computational Intelligence.
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650 -SUBJECT ADDED ENTRY--TOPICAL TERM
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a
Topical term or geographic name as entry element
Electrical Engineering.
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700 -ADDED ENTRY--PERSONAL NAME
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a
Personal name
Ince, Turker.
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700 -ADDED ENTRY--PERSONAL NAME
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a
Personal name
Gabbouj, Moncef.
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856 -ELECTRONIC LOCATION AND ACCESS
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u
Uniform Resource Identifier (R)
http://dx.doi.org/10.1007/978-3-642-37846-1
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942 -Biblioitem information
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929 -Medio de adquisicion
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