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Dtic Ada229042%3a Investigation Of The Prediction Of Lightning Strikes Using Neural Networks by Defense Technical Information Center
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1DTIC ADA229042: Investigation Of The Prediction Of Lightning Strikes Using Neural Networks
By Defense Technical Information Center
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)
“DTIC ADA229042: Investigation Of The Prediction Of Lightning Strikes Using Neural Networks” Metadata:
- Title: ➤ DTIC ADA229042: Investigation Of The Prediction Of Lightning Strikes Using Neural Networks
- Author: ➤ Defense Technical Information Center
- Language: English
“DTIC ADA229042: Investigation Of The Prediction Of Lightning Strikes Using Neural Networks” Subjects and Themes:
- Subjects: ➤ DTIC Archive - Barnes, Arnold A , Jr - AIR FORCE SYSTEMS COMMAND HANSCOM AFB MA GEOPHYSICS LAB - *WEATHER FORECASTING - *LIGHTNING - *NEURAL NETS - RADIOSONDES - PREDICTIONS - METEOROLOGICAL DATA - LAUNCHING SITES - TOWERS - INPUT - DATA COMPRESSION - VALUE - POSITION(LOCATION) - OUTPUT - THUNDERSTORMS
Edition Identifiers:
- Internet Archive ID: DTIC_ADA229042
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The book is available for download in "texts" format, the size of the file-s is: 6.64 Mbs, the file-s for this book were downloaded 74 times, the file-s went public at Tue Feb 27 2018.
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