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In this thesis, the radar echo reflectivity of severe precipitation in the flood season of Changjiang-Huaihe area was identified by a Back-Propagation (BP) Model of Artificial Neural Network (ANN). The trained network was applied in a precipitation progress in the same area in 2001. The results illustrate that: the single hide-layer BP ANN can be used to identify the target radar echo at a high succeed...
In this work, the data from the China new generation S band A series radar (CINRAD/SA) in Hefei during 2001 to 2003 was used to study the precipitation echo classification with a back-propagation (BP) model of artificial neural network. Three types of precipitation echo were considered in this study: stratiform, convective and mixed rain. Based on a case study with the trained BP ANN, it was proved...
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