Modeling and Simulation of the GA_LSSVM-Based Soft Measurement for Torque

Abstract:

Given the traditional method of direct measurement which is of high cost, difficult installation and poor reliability,this paper is presented a new model of the torque soft measure method based on least squares support vector machine using genetic algorithms optimization:genetic algorithms replaces the previous cross-validation method for model parameter’s optimization, in order to avoid the blindness of the parameter choices.Verified by simulation, the model can effectively address the deficiencies of traditional measurement methods and obtain better measurement accuracy and speed , possessing benefits of an outstanding ability for small sample study and being easy to compute.

• Periodical: Applied Mechanics and Materials (Volumes 44-47)
• Pages: 733-737
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.44-47.733
• Online since: December 2010
• Authors: Zhen Chen, An Yi Huang
• Keywords: Genetic Algorithm (GA), Least Squares Support Vector Machines (Ls-SVM), Soft Measurement, Torque

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