Time Series Modeling

The objective is to create support for managing data with temporal relations. The primary use case is to predict Bitcoin prices, for example.

The network should receive data along with its previous output as input. For learning, it should regressively adapt its previous outputs.

(data0 + out0) -> Agent -> (data1, out1) -> Agent -> (data2, out2) -> ...