基于BP神经网络的电视节目收视率预测模型  

Prediction Model of Television Program Rating Based on BP Neural Network

作　　者：汪洋[1] 田钢[1] 温淑鸿[1] 

机构地区：[1]中国传媒大学信息工程学院,北京100024

出　　处：《电视技术》2014年第6期94-96,共3页Video Engineering

摘　　要：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 television program rating prediction is a typical nonlinear prediction, and the rating is 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. Prediction model is established based on BP neural network, and using software simulation approach predicting process. The predicted results are analyzed. The test results show that the prediction of television program rating using BP neural network is feasible.

关 键 词：BP神经网络 收视率 预测 

分 类 号：TN948[电子电信—信号与信息处理] TP389[电子电信—信息与通信工程]