Particle swarm optimization aided orthogonal forward regression for unified data modelling
We propose a unified data modeling approach that is equally applicable to supervised regression and classification applications, as well as to unsupervised probability density function estimation. A particle swarm optimization (PSO) aided orthogonal forward regression (OFR) algorithm based on leave-...
Main Authors: | Chen, Sheng (Author), Hong, Xia (Author), Harris, Chris J. (Author) |
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Format: | Article |
Language: | English |
Published: |
2010-08.
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Subjects: | |
Online Access: | Get fulltext |
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