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The measurement of multiple components in nutrient solution is prerequisite for optimal control of nutrient solution. The current measurement methods of nutrient solution estimate the concentrations of components in nutrient solution based on pH and electronic conductivity (EC) values, which lead to large errors. In this paper, a virtual ion selective electrode (VISE) approach is proposed to online...
Due to the performances of low computational cost and excellent generalization capability, Least squares support vector regression (LS-SVR) has been successfully applied to function estimation and forecasting problems. However, in comparison to SVR, LS-SVR loses the sparseness and has worse robustness for large training samples. In this paper, a sparse LS-SVR is proposed for the regression of large...
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