ISSN 1000-0526
CN 11-2282/P
+Advanced Search
Archive > Volume 33 Issue 7 > 2007,33(7):55-59. DOI:10.7519/j.issn.1000-0526.2007.07.006 Prev Next

Precipitation Echo Classification of Radar Reflectivity with Artificial Neural Network

  • Article
  • Figures
  • Metrics
  • Preview PDF
  • Reference
  • Related
  • Cited by
  • Materials
    Abstract:
    A BackPropagation (BP) Model of Artificial Neural Network (ANN) is used for th e partitioning of radar reflectivity into convective and stratiformcloud preci pitation classifications with the CINRADSA data from 2001 to 2003 in Hefei. Th e trained ANN is applied in a precipitation process. It is proved that the singl e hidelayer BP model of ANN can be used to classify the different precipitatio n echoes with a high successrate. It is also validated that: the successrate is influenced by following factors: the amount and the inputorder of the tr ainingdatabase, the nerve cell number of the hidedlayer and the choice of th e learning rate.

    Keywords:


    Project Supported:
    Clc Number:

WeChat

Mobile website

® 2025 All Rights Reserved
Supported by:Beijing E-Tiller Technology Development Co., Ltd. ISSN:1000-0526   CN:11-2282/P