2.6
A neural network for hail size prediction
Caren Marzban, NOAA/NSSL and CIMMS/Univ. of Oklahoma, Norman, OK; and A. Witt
The National Severe Storms Laboratory has developed an algorithm for computing a number of attributes believed to be relevant for the detection/prediction of hail. The attributes include Doppler radar-derived parameters and other quantities representing near storm environment. In this paper, the development of a neural network for severe hail detection/prediction is outlined. Special emphasis is placed on the role of local minima in determining the optimal architecture of the neural network via bootstrapping.
Session 2, Artificial Neural Networks
Monday, 10 January 2000, 1:30 PM-4:30 PM
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