Fig. 2.

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Schematic overview of our neural network architecture. Four solar wind parameters form the input vector X (in this example B, log nO7+/nO6+, np, and Tp), the hidden layer contains a variable number of neurons nh, and the output yrec is the remaining solar wind parameter (in this example vp). Each layer is fully connected by weights that are represented by arrows.
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