Weixin Hot Spot Prediction by Using Modified Extreme Learning Machine

In order to improve the accuracy of the weixin hot spot prediction, describe weixin hot trends, the current weixin hot forecast model has some limitations, a weixin hot prediction model based on improved extreme learning machine is proposed. Firstly, historical data are gathered for weixin hot, and time series hot study sample of weixin establisheds, and secondly, extreme learning machine was trained on weixin hot samples while standard extreme learning machine learning is modified to improve learning ability and prediction models of weixin hot is test by weixin hot data test. The test results show that modified extreme learning machine can get high accurate prediction results of weixin hot, and the modeling efficiency is higher than other models, it has good practical application value.