Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autores principales: Kiranyaz, Serkan (Autor), Ince, Turker (Autor), Gabbouj, Moncef (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Edición:1st ed. 2014.
Colección:Adaptation, Learning, and Optimization, 15
Temas:
Artificial intelligence.
Computational intelligence.
Electrical engineering.
Artificial Intelligence.
Computational Intelligence.
Electrical and Electronic Engineering.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • 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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