Automatic Solar Flare Detection Using Neural Network Techniques
- Fernández Borda, Roberto A.
- Mininni, Pablo Daniel
- Mandrini, Cristina Hemilse
- Gomez, Daniel Osvaldo
- Bauer, Otto H.
- Rovira, Marta Graciela
DOIAbstract
We present a new method for automatic detection of flare events from images in the optical range. The method uses neural networks for pattern recognition and is conceived to be applied to full-disk Halphaimages. Images are analyzed in real time, which allows for the design of automatic patrol processes able to detect and record flare events with the best time resolution available without human assistance. We use a neural network consisting of two layers, a hidden layer of nonlinear neurodes and an output layer of one linear neurode. The network was trained using a back-propagation algorithm and a set of full-disk solar images obtained by HASTA (HalphaSolar Telescope for Argentina), which is located at the Estación de Altura Ulrico Cesco of ...
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