Back Propagation is a common method of training artificial neural networks so as to minimize objective function. This paper describes the implementation of back propagation algorithm.

Here s=T−t, that is, the equations run backwards in time and J(t) is the Jacobian of f w.r.t. its argument. From the variables e a (t) and e s (t), gradients w.r.t. all impulse response matrices ...