Solar Wind and Geomagnetic Activity - Predictions Using Neural Networks
This thesis shows how artificial neural networks (ANNs) can be applied to predict geomagnetic activity from solar-wind data. It introduces and summarizes five papers where development of ANN models are reported, and where predictions of geomagnetic activity are discussed. The studies cover geomagnetic disturbances characterized by global-scale indices and geomagnetic variations that are locally ob
