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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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Bibliographic Details
Main Authors: Kiranyaz, Serkan, Ince, Turker (Author), Gabbouj, Moncef (Author)
Format: eBook
Language:English
Published: Berlin, Heidelberg Springer Berlin Heidelberg 2014, 2014
Edition:1st ed. 2014
Series:Adaptation, Learning, and Optimization
Subjects:
Computational Intelligence
Electrical And Electronic Engineering
Artificial Intelligence
Electrical Engineering
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • 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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