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

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.

Key words:leaf water potential; soft sensing; least square support vector machine(LSSVM); particle swarm optimization(PSO)