Prediction of Spot Price of Iron Ore Based on PSR-WA-LSSVM Combined Model

Aiming at the problems that existing single time series models are not accurate and robust enough when it comes to forecasting iron ore prices parameters of traditional LSSVM model difficult determine, we propose a combined based on Phase Space Reconstruction (PSR), wavelet transform (PSR-WA-LSSVM) tackle these issues. ARIMA model, LSTM PSR-LSSVM PSR-WA-LSSVM were used for contrast simulation forecast spot price data 61.5%PB powder from January 30, 2019, February 1, 2021, in Ningbo Zhoushan port. The experimental results show combination achieves better prediction results. At same time, has good performance multistep price.