Identification of Superrefraction Echoes of Weather Radar Based on Neural Network
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Abstract:
Based on the SA Doppler weather radar data, six characteristic parameters are extracted from the basic reflectivity, radial velocity, and spectrum width of three basic products, which can reflect the differences between them, and their probability analysis are used for the recognition factors of BP neural network.Through the establishment of the proper training set, the neural network is trained, and the optimal network structure is obtained. Then the test set is used to further test the trained network, and the identification effect is evaluated. The results are as follows: when the number of neurons in the input layer, the hidden layer, and the output layer of neural networks is 6, 6 and 2, and the best recognition effect can be obtained for the superrefraction echoes. Finally, the validity of the recognition is verified again by actual cases.
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Supported by:Beijing E-Tiller Technology Development Co., Ltd.
Supported by:Beijing E-Tiller Technology Development Co., Ltd.