Multi-step-ahead Prediction with Neural Networks: a Review
نویسندگان
چکیده
We review existing approaches in using neural networks for solving multi-step-ahead prediction problems. A few experiments allow us to further explore the relationship between the ability to learn longer-range dependencies and performance in multi-stepahead prediction. We eventually focus on characteristics of various multi-step-ahead prediction problems that encourage us to prefer one method over another.
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