At any given moment of time the state of the system is represented by a vector, that stores the so-called hidden states of the system. In the state-space representation the hidden states are the state variables.

NeurEco Discrete Dynamic allows imposing the limits on the number of hidden states. When these limits rely on some additional knowledge about the system, it can facilitate the model training and reduce the time of Build.