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Erschienen in:
An Image Steganalysis Algorithm Based on Rotation Forest Transformation and Multiple Classifiers Ensemble Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

Selective Ensemble Based on Probability PSO Algorithm

verfasst von : Wen Quan, Jian Wang, Zhongmin He, Jiaofeng Zuo

Erschienen in: Advances in Internetworking, Data & Web Technologies

Verlag: Springer International Publishing

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Abstract

In order to overcome the disadvantages of high complexity, low speed and accuracy of selective ensemble algorithm based on genetic algorithm. We proposed a new selective ensemble algorithm based on probability PSO algorithm. First, in order to tackle the converging slowly and easily to partial minimum problems of simplified PSO, we introduce the cloud model and the method of complex; Second, we present the definition of probability PSO and the formula that converting the particle position vector to base learner selection problem, that make the transformation from continuous space to discrete space become true. Finally, we choose integration model generalization error as the adaptive function of PPSOSEN. The numerical results show that, compared with discrete PSO, PPSOSEN improved the recognition precision with the same time consumption, and it is an efficient selective ensemble algorithm.

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Vorheriges Kapitel Target Recognition Method Based on Multi-class SVM and Evidence Theory
Nächstes Kapitel The Research of QoS Monitoring-Based Cloud Service Selection
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Metadaten
Titel
Selective Ensemble Based on Probability PSO Algorithm
verfasst von
Wen Quan
Jian Wang
Zhongmin He
Jiaofeng Zuo
Copyright-Jahr
2018
Buch
Advances in Internetworking, Data & Web Technologies

Print ISBN: 978-3-319-59462-0

Electronic ISBN: 978-3-319-59463-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-59463-7_27