A multi-pattern deep fusion model for short-term bus passenger flow – 第2页 – NLPIR自然语言处理与信息检索共享平台

自然语言处理与信息检索共享平台 自然语言处理与信息检索共享平台

A multi-pattern deep fusion model for short-term bus passenger flow

NLPIR SEMINAR 25th ISSUE COMPLETED

Last Monday, Nihad gave a presentation about the paper, A multi-pattern deep fusion model for short-term bus passenger flow forecasting, and shared some opinion on it.

In this paper, a multi-pattern deep fusion approach (MPDF),combining the AP algorithm for identifying the passenger flow pattern and the DBN framework for learning sophisticated flow features, has been reported to forecast the short-term bus passenger flow. The MPDF could generate as the fused final forecasts with three steps.

The results also cmpared with the non-parametric model (the DBN, the AE, the AP-based AE,and feed forward neural network (FFNN)) and the parametric model(the ARIMA).

You May Also Like

About the Author: nlpvv

发表评论