基于BP神经网络的电视节目收视率预测模型

电视节目收视率预测是一种典型非线性预测,收视率在短时间内相对稳定。人工神经网络具有良好的容错性、自适应学习能力以及非线性映射能力,采用人工神经网络做收视率预测精度较高。基于BP神经网络建立了预测模型,并采用软件仿真的方式对预测过程以及预测结果进行分析,实验结果表明采用BP神经网络预测电视节目收视率是可行的。

The Prediction Model of Television Program Rating Based on BP Neural Network

The television program rating prediction is a typical nonlinear prediction, and the rating were relatively stable in a short time. Artificial neural network has a good fault tolerance, adaptive learning ability and nonlinear mapping ability, therefore the prediction model of television program rating based on BP neural network has high precision. This paper establish prediction model based on BP neural network, and using software simulation approach predicting process. The predicted results were analyzed, the test results show that the prediction of television program rating using BP neural network is feasible.