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Chaotic Particle Swarm Optimization with Mutation for Classification

In this paper, a chaotic particle swarm optimization with mutation-based classifier particle swarm optimization is proposed to classify patterns of different classes in the feature space. The introduced mutation operators and chaotic sequences allows us to overcome the problem of early convergence i...

詳細記述

保存先:
書誌詳細
出版年:J Med Signals Sens
主要な著者: Assarzadeh, Zahra, Naghsh-Nilchi, Ahmad Reza
フォーマット: Artigo
言語:Inglês
出版事項: Medknow Publications & Media Pvt Ltd 2015
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4335141/
https://ncbi.nlm.nih.gov/pubmed/25709937
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