基于遗传神经网络的传感器系统的非线性校正

Non-linearity Rectification of Sensor Systems Based on Genetic Neural Networks

针对最小二乘等传统方法的不足 ,提出了解决传感器系统非线性校正问题的遗传神经网络算法。计算机仿真表明 ,采用这里所提出的观点和方法 ,其拟合精度远高于传统上应用最为广泛的最小二乘法 ,并且具有较强的鲁棒性。而且 ,从所做的研究显示 。

Genetic neural network model of solving the problems on the non linearity rectification of sensor systems,is put forward,for the shortcoming of least square and other conventional methods.Computer simulations are given to demonstrate that approximation accuracy of the model is far higher than least square methods that are extensively applied conventionally and the model possesses stronger robustness,through adopting the standpoints and methods in this paper.And the research indicates that the model can be also used to realize the non linearity rectification in other similar systems.