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传感器都存在交叉灵敏度 ,本文讨论了遗传神经网络在改善传感器性能 ,降低交叉灵敏度的原理 ,并且按照遗传神经网络的原理制作了通用数据融合软件包。该方法可降低主传感器对非目标参量的交叉灵敏度。以工作电流波动干扰量为例 ,试验结果表明传感器的电流波动率明显降低。实验证明该软件包具有通用、灵活等特点 ,适合推广使用。
The sensor has cross-sensitivity. This paper discusses the principle of genetic neural network in improving sensor performance and reducing cross-sensitivity. According to the principle of genetic neural network, a general data fusion software package is made. This method reduces the cross-sensitivity of the main sensor to non-target parameters. Taking the fluctuation of working current as an example, the experimental results show that the current fluctuation rate of the sensor is obviously reduced. Experiments show that the package has the characteristics of common, flexible, suitable for promotion.