Application research on intelligent pattern recognition methods in hail identification of weather radar

Firstly, advantages of the learning ability of intelligent pattern recognition models, which have been used in hail identification of weather radar based on echo parameters, is discussed. Then, structures and working principles of hail identification models which based on fuzzy neural network and support vector machines (SVM) are described respectively. Finally, effect validation of hail identification has been finished by using echo samples from Chengdu and Kuitun to train the hail identification models. The experimental results show that hail identification models based on intelligent pattern recognition have the better effect than which based on the statistical pattern recognition. Besides, in the case of limited training samples, the identification model based on SVM has stronger adaptability than which based on fuzzy neural network.