Accession Number:

ADA229042

Title:

Investigation of the Prediction of Lightning Strikes Using Neural Networks

Descriptive Note:

Corporate Author:

AIR FORCE SYSTEMS COMMAND HANSCOM AFB MA GEOPHYSICS LAB

Report Date:

1990-10-11

Pagination or Media Count:

8.0

Abstract:

A neural network is being trained to predict lightning at Cape Canaveral for periods up to two hours in advance. Inputs consists of ground based field mill data, meteorological tower data, lightning location data and radiosonde and rapid changes in the field mill data, offset in time, provide the forecasts or desired output values used to train the neural network through back propagation. Examples of input data are shown and an example of data compression using a hidden layer in the neural network is discussed. kr

Subject Categories:

  • Meteorology

Distribution Statement:

APPROVED FOR PUBLIC RELEASE