Classification Algorithm of Regression Support Vector Machine and its Application to Environment Monitoring in Water Culture Plants

Abstract:

In this paper, it applies Gaussian loss function instead of ε-insensitive loss function in a standard SVRM to devise a new model and a new type of support vector classification machine whose optimization problem is easier to solve and has conducted effective test on open data set in order to apply the new algorithm to environment monitoring in water culture plants and the monitoring result is better than any other method available.

• Periodical: Applied Mechanics and Materials (Volumes 427-429)
• Pages: 1121-1127
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.427-429.1121
• Online since: September 2013
• Authors: Man Fu Yan*, Jiu Hai Wang
• Keywords: Environment Monitoring, Support Vector Machine (SVM), Water Culture Plants

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DOI: 10.1162/089976600300015042