The Lolimot model (LOcal LInear MOdel Tree) is a model from the neural network familly. It is able to learn every kind of non-linear relationship. Compared to a classical neural network, the learning phase of a LOLIMOT model is quite fast and deterministic. Once a model is learnt, you have an easy access to analytical derivatives of your model through a call to the function estim_der_lolimot.
Author(s): Yann COLLETTE
Maintainers(s): - Yann COLLETTE - Vincent COUVERT