A review of the FE2 method for composites Multiscale and Multidisciplinary Modeling, Experiments and Design
Our multi-step decoder, improves the prediction error in most cases, specifically when the forecast horizon is long, e.g. 720. For example, in traffic forecasting, consisting of 862 variables across 720 future timestamps, the utilization of a multi-step decoder yields an MAE error reduction of 1%. We
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