摘要
针对集成湿度传感器IH3605的温度补偿,采用BP神经网络技术.此神经网络采用2-5-1结构,节点函数采用S型函数.实践表明此方法具有较高的测量精度和可靠性.
According to temperature compensation problem for Integrated humidity sensor IH3605,using BP neural network technology.The neural network uses 2-5-1 structure,the node function using S-function.Practice shows that this method has high measurement accuracy and reliability.
出处
《襄樊学院学报》
2010年第5期25-27,共3页
Journal of Xiangfan University