| 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 |
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Artificial intelligence |
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Engineering |
|
Computer engineering |
|
Computational Intelligence |
|
Electrical Engineering |
|
computerwetenschappen |
|
computer sciences |
|
computational science |
|
kunstmatige intelligentie |
|
elektrotechniek |
|
Information and Communication Technology (General) |
|
Informatie- en communicatietechnologie (algemeen) |
| Bibliography |
Includes bibliographical references |
| Notes |
Online resource; title from PDF title page (SpringerLink, viewed July 29, 2013) |
| SUBJECT |
Deutsche Arbeitsgemeinschaft für Mustererkennung Symposium gnd |
| Subject |
Mathematical optimization.
|
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Swarm intelligence.
|
|
Machine learning.
|
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Pattern recognition systems.
|
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Pattern Recognition, Automated
|
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Machine Learning
|
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MATHEMATICS -- Optimization.
|
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Ingénierie.
|
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Machine learning
|
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Mathematical optimization
|
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Pattern recognition systems
|
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Swarm intelligence
|
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Partikel-Schwarm-Optimierung
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Maschinelles Lernen
|
| Form |
Electronic book
|
| Author |
Ince, Turker.
|
|
Gabbouj, Moncef.
|
| ISBN |
9783642378461 |
|
3642378463 |
|
