Multi-parametric neuronal Predictor
Quarterly Predictor

Type of data: Monthly / Quarterly

Length of filter

Time window to analyse quarters

Number of Epocs

Noise level €
Under construction


This Predictor is prepared for Quarterly periodicity, be sure you have enough data. If you do not have enough data, the data souce is extended.

Best results for the length of the filter. Time flow in the window analysed, more noise better time flow, and higher noise error.

Contact

Experienced project team led by a Senior Engineer – class 9.