本文研究如何利用BP神经网络建立基于神经元网络的非线性时间序列预测模型。通过对太阳黑子非线性时间序列数据集进行了仿真实验,对预测的结果进行了分析,实验结果表明,模型具有较高的精度,可以对非线性时间序列进行稳定的、准确的预测。 This paper studies how to use BP neural network to establish a nonlinear time series prediction model based on neural network. The simulation results of the nonlinear time series datasets of sunspots are analyzed and the results of the prediction are analyzed. The experimental results show that the model has high precision and can predict the nonlinear time series accurately and accurately.