基于遗传算法的传感器系统的非线性校正

针对最小二乘等传统方法的不足，本文提出了解决传感器系统非线性校正问题的遗传算法模型。计算机仿真表明，采用本文所提出的观点和广阔, 拟合精度明显高于传统上应用最为广泛的最小二乘法，并且鲁奉性强，而且，从所做的研究显示，该方法还可用于其它类似系统的非线性校正。

Non-linearity Rectification of Sensor Systems Based on Genetic Algorithm

In this paper, genetic algorithm models to solve the problems on the non-linearity rectification of sensor systems, are put forward, for the shortcoming of least square and other conventional methods. Computer simulations are given to demonstrate that approximation accuracy of the models is higher than least square methods that are extensively applied conventionally and the models is possesed of strong robustness, through adopting the standpoints and methods in this paper. And the research indicates that the models can be also used to realize the non-linearity rectification in other similar systems.