Although we used two random forests and a neural network to create predictive models, in this article, I mostly focus on the neural network especially the explanation of the learned parameters that helped us to reveal the mechanics of earthquake rupture process.

I understand what makes it a network. I don’t understand what makes the network ‘neural.’ Perhaps if you elaborated on that, the ideas would be clearer (though I haven’t read the paper at archiv, yet, so maybe that has some more explanation. Thanks.