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中文摘要：
改正光电的排水量传感器的非线性的错误的一个模型基于最少的方形的支持向量机器被建立。改正的参数非线性的模型例如惩罚因素和核参数，被混乱优化基因算法。并且光电的排水量传感器的非线性的修正基于最不方形的支持向量机器被使用。申请结果表明光电的排水量传感器的那个错误是不到 1.5% ，它为光电的排水量传感器的非线性的修正是相当令人满意的。
英文摘要：
A model of correcting the nonlinear error of photoelectric displacement sensor was established based on the least square support vector machine. The parameters of the correcting nonlinear model, such as penalty factor and kernel parameter, were optimized by chaos genetic algorithm. And the nonlinear correction of photoelectric displacement sensor based on least square support vector machine was applied. The application results reveal that error of photoelectric displacement sensor is less than 1.5%, which is rather satisfactory for nonlinear correction of photoelectric displacement sensor.
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