台風の最大風速予測コンテスト-multi variate LSTMの適用

抄録

I propose multiple models for typhoon maximum wind speed forecasting using Neural Network. Based on RMSE evaluation for Test data set, the best score is 5.16 achieved with multi variate LSTM. In this model, the typhoons are expressed in multiple 1D variables by averaging 2D data over concentric region from center. The RMSE on the land regions are comparatively poor than that on the sea, which implies the model needs more improvement on dealing the typhoons especially at their weakening stages.