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PREDICTING INTERPLANETARY SHOCKS USING NEURAL NETWORKS

PREDICTING INTERPLANETARY SHOCKS USING NEURAL NETWORKS. A.İbrahim PALA METU Aerospace Engineering Department Senior Student 21.12.2005. OUTLINE. WHAT IS AN INTERPLANETARY SHOCK? WHAT IS A NEURAL NETWORK? HOW THE NEURAL NETWORKS ARE USED TO PREDICT THE INTERPLANETARY SHOCKS? CONCLUSION.

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PREDICTING INTERPLANETARY SHOCKS USING NEURAL NETWORKS

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  1. PREDICTING INTERPLANETARY SHOCKS USING NEURALNETWORKS A.İbrahim PALA METU Aerospace Engineering Department Senior Student 21.12.2005

  2. OUTLINE • WHAT IS AN INTERPLANETARY SHOCK? • WHAT IS A NEURAL NETWORK? • HOW THE NEURAL NETWORKS ARE USED TO PREDICT THE INTERPLANETARY SHOCKS? • CONCLUSION

  3. INTERPLANETARYSHOCKS • Charged particles are constantly streaming outward from the Sun. • When events such as Coronal Mass Ejections (CMEs) occur on the Sun, an Interplanetary (IP) shock may be generated.

  4. INTERPLANETARYSHOCKS • The abrupt boundary formed at the front of a plasma cloud moving much faster than the rest of the solar wind, as it pushes its way through interplanetary space.

  5. NEURONS SYNAPSE (INPUT->WEIGHTS) COLLECTOR ACTIVATION FUNCTION->OUTPUT NEURAL NETWORKS

  6. NEURAL NETWORKS • CONSTRUCTING A NEURAL NETWORK BY BRINGING LOTS OF NEURONS TOGETHER AND INTERCONNECTING AND TRAINING THEM • SYSTEM PARALLELISM AND STRUCTURAL DISTRIBUTION OF OVERALL FUNCTION ->compensating the errors due to a nonfunctional neuron • GENERALIZATION AND LEARNING ABILITY ->giving meaningful outputs for also the non-trained inputs

  7. PREDICTING THE ARRIVAL OFIP SHOCKS BY NEURAL NETWORKS • IP Shocks causes the incoming particle flux observed at or near Earth to increase by orders of magnitude. • Sharp increases in particle intensity are called Energetic Storm Particle (ESP) events

  8. PREDICTING THE ARRIVAL OFIP SHOCKS BY NEURAL NETWORKS INPUTS: Observations from two ACE instruments: • The Electron, Proton, and Alpha Monitor (EPAM): particle intensity at five different energy levels. This data is used to detect the onset of an event, several days in advance, and to predict the ESP event / IP shock arrival.

  9. PREDICTING THE ARRIVAL OFIP SHOCKS BY NEURAL NETWORKS INPUTS • The Solar Wind Electron, Proton, and Alpha Monitor (SWEPAM): solar wind plasma temperature, density, and speed. This data is used to detect the actual IP shock arrival.

  10. PREDICTING THE ARRIVAL OFIP SHOCKS BY NEURAL NETWORKS(Real-time Interplanetary Shock Prediction (RISP) System) • TRAINING THE ARTIFICIAL NEURAL NETWORK TO PREDICT THE TIME REMAINING UNTIL THE SHOCK ARRIVES • TRAINED BY 37 OF THE 56 SELECTED SHOCKS • PERFORMANCE ASSESSED BY FORECASTING ARRIVAL TIME COUNTDOWNS FOR 19 SHOCKS NOT USED DURING TRAINING

  11. PREDICTING THE ARRIVAL OFIP SHOCKS BY NEURAL NETWORKS Particle intensities for test sequence 9. Predicted time until shock arrival.

  12. REFERENCES • www.physics.usyd.edu.au/~cairns/teaching/lecture11/node5.html+interplanetary+shocks&hl=tr • http://www-spof.gsfc.nasa.gov/Education/wgloss.html • http://sd-www.jhuapl.edu/ACE/EPAM/RISP/ • Vandegriff , J., Wagstaff, K., Ho , G., Plauger, J. Forecasting space weather: Predicting interplanetary shocks using neural networks. Adv.Space Res. 36, 2323-2327, 2005. • www.srl.caltech.edu/ACE/ • Efe, M.Ö., Kaynak, O., Yapay sinir ağları ve uygulamaları, Bogazici University,2005

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