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5. Hybrid Model of Time Series Prediction Model for Railway Passenger Flow

Hybrid Model of Time Series Prediction Model for Railway Passenger Flow

来源 :国际计算机前沿大会会议论文集 | 被引量 : 0次 | 上传用户：lovezhizunbaolove

【摘 要】

：

Railway passenger flow forecasting is an important basis for scientific dispatching of railway transportation. In order to remedy the shortcomings of one single

【作 者】

：

Wei Sha Shuai Qiu Wenjun Yuan 

【机 构】

：

GuangxiKeyLabofMulti-sourceInformationMiningandSecurity

【出 处】

：

国际计算机前沿大会会议论文集

【发表日期】

：

2019年2期

【关键词】

：

ARIMA MODEL ELM MODEL Wavelet TRANSFORM Entropy value method SEASONAL MODEL 

【基金项目】

：

the National Natural Science Foundation of China (Grant Nos. 11862003, 81860635, 11462003),the Key Project of Guangxi Natural Science Foundation (Grant No. 2017GXNSFDA198038),the Project of Guangxi Na

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Railway passenger flow forecasting is an important basis for scientific dispatching of railway transportation. In order to remedy the shortcomings of one single time series prediction method for passenger flow, a model of combining autoregressive integrat

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