NUMERICAL FORECAST PRODUCTS OPTIMIZATION OF THE WEST-PACIFIC SUBTROPICAL HIGH BASED ON THE WAVELET DECOMPOSITION AND SOFM-BP ARTIFICAL NEURAL NETWORKS
Mei Hong · Journal of Tropical Meteorology · 2007
Based on the T106 numerical forecast model output product (May-August,995～1997),an idea of forecast optimization technique for subtropical high’s characteristic index and its errors revisal route were presented and discussed in the paper. Firstly,the time series of prediction target was decomposed into different frequency section by using wavelet method and some high frequency signals and noises were filtered,then a synthetical technique of combining BP (Back-Propagation Network) lgorithm with SOFM (Self-Organizing Feature Map) model of ANN (Artifical Neural Network) was introduced,and some numerical forecast samples were well optimized and its errors were effectively revised by using the technique,experimental results showed that the methods here was promising in practice.