The Research of the Flotation Recovery Prediction Methods Based on Advanced LS-SVM

Yong Zhang; Jing Zhu; Tan Liu

doi:10.4028/www.scientific.net/AMM.130-134.1854

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 130-134The Research of the Flotation Recovery Prediction...

The Research of the Flotation Recovery Prediction Methods Based on Advanced LS-SVM

Abstract:

Flotation recovery is an important index of flotation process, in order to change the existing detection methods of low accuracy , a soft measurement model of flotation recoveries is proposed based on improved weighted LS - SVM. According to the flotation foam characteristics and the corresponding relation of flotation recovery, the fuzzy C-means clustering method is used for flotation characteristics of data processing , the image characteristic values as prediction model input and using genetic algorithm to optimize the parameters of the model. The result show that the modified algorithm can overcome a prediction standard model LS - SVM algorithm parameter optimization shortage, and have better forecasting effect which provide effective protection for flotation process operation and flotation operation stable operation optimization .

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Periodical:

Applied Mechanics and Materials (Volumes 130-134)

Pages:

1854-1857

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.130-134.1854

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Online since:

October 2011

Authors:

Yong Zhang, Jing Zhu, Tan Liu

Keywords:

FCM, Flotation Recovery, Least Squares Support Vector Machines (Ls-SVM), Predictive Model

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