Soft Sensor Modeling of Leaf Water Potential Based on Improved Support Vector Machine
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TP 273

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    Abstract:

    Based on study on least square support vector machine(LSSVM),the paper presents an improved particle swarm optimization (IPSO) algorithm to select the parameters of LSSVM.The soft sensor modeling of the leaf water potential is established based on IPSOLSSVM.Simulation results indicate that the method based on IPSOLSSVM is of a higher accuracy than the basic LSSVM and LSSVM based on PSO,which can well predict leaf water potential.

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GU Xingsheng, PAN Ye, LU Shengli. Soft Sensor Modeling of Leaf Water Potential Based on Improved Support Vector Machine[J].同济大学学报(自然科学版),2010,38(11):1669~1674

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