Research Article
Prediction after a Horizon of Predictability: Nonpredictable Points and Partial Multistep Prediction for Chaotic Time Series
Algorithm 2
The prediction procedure.
| (1) | procedure Base prediction () | | (2) | | | (3) | normalize observations | | (4) | ← index of last known observation | | (5) | fordo | | (6) | fordo, | | (7) | fordo | | (8) | | | (9) | end for | | (10) | | | (11) | | | (12) | | | (13) | ifthen, —Euclidian distance | | (14) | add to | | (15) | end if | | (16) | end for | | (17) | if point is predictable then | | (18) | calculate using corresponding algorithm | | (19) | end if | | (20) | end for | | (21) | end procedure |
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