Self-tuning predictors with application to river flow prediction

摘要: The paper presents developments of recursive self-adaptive prediction algorithms, called ‘self-tuning predictors’, using some common estimation techniques, and their application to flow discharge the river Tigris at Baghdad, Iraq. Four kinds predictors, viz least-square predictor, minimum-variance a predictor stochastic approximation, two-stage have been developed. Using available data for River Tigris, results obtained average daily discharge, monthly yearly discharge. In each type number models tried. various are presented in graphical tabular forms comparison.