线性双折射效应是限制光学电流传感器实用化的关键因素。文中采用径向基函数神经网络来实现光学电流传感器线性双折射效应的补偿 ,介绍了网络的基本原理 ,论述了线性双折射效应的具体补偿方法 ,并将本方法与采用BP网络的方法进行了比较 ,结果表明用径向基函数网络实现光学电流传感器线性双折射效应的补偿具有速度快、精度高和简便实用的特点 ,是行之有效的。 Linear birefringence effect is to limit the practical application of optical current sensor key factor. In this paper, the radial basis function neural network is used to compensate the linear birefringence effect of optical current sensor. The basic principle of the network is introduced. The compensation method of the linear birefringence effect is discussed. The method is compared with the BP neural network method The results show that the compensation of the linear birefringence effect of the optical current sensor with the radial basis function network has the advantages of fast speed, high precision, simple and practical features and is effective.