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Books > Professional & Technical > Energy technology & engineering > Electrical engineering
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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 2014)
Loot Price: R3,832
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Multidimensional Particle Swarm Optimization for Machine Learning and Pattern Recognition (Paperback, Softcover reprint of the original 1st ed. 2014)
Series: Adaptation, Learning, and Optimization, 15
Expected to ship within 10 - 15 working days
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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. 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. 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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