论文信息 - Forecasting river flow using nonlinear dynamics

Forecasting river flow using nonlinear dynamics

A Nearest Neighbor Method (NNM) is used to forecast daily river flows that were measured at a single location over a time period spanning about seventy years. A parsimonious three parameter NNM is developed in the context of Nonlinear Dynamics and the dependence between forecast error and length of history used to construct forecasts is investigated. Comparison is made to Auto-Regressive Integrated Moving Average (ARIMA) models. The NNM is found to provide improved forecasts.

G. Kember | A. C. Flower | J. Holubeshen | G. Kember | J. Holubeshen

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