Nonlinear Rectification Method of Platinum Resistance by BP Neural Network
应用BP神经网络校正铂电阻温度传感器非线性的方法

This article uses BP neural network to calibrate nonlinear characteristics of platinum resistance,gives the structure of BP neural network and the method to train weight.The input are normalized when the network is trained.Finally,this neural network calibrates a fact system.This method can be achieved very easily.Using platinum becomes very convenient in measurement with this method.