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The use of radial basis function and non-linear autoregressive exogenous neural networks to forecast multi-step ahead of time flood water level

Many different Artificial Neural Networks (ANN) models of flood have been developed for forecast updating. However, the model performance, and error prediction in which forecast outputs are adjusted directly based on models calibrated to the time series of differences between observed and forecast v...

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書誌詳細
主要な著者:	Faruq, A., Abdullah, S. S., Marto, A., Bakar, M. A. A., Hussein, S. F. M., Razali, C. M. C.
フォーマット:	論文
言語:	English
出版事項:	Universitas Ahmad Dahlan 2019
主題:	T Technology (General)
オンライン･アクセス:	http://eprints.utm.my/id/eprint/88600/1/AmrulFaruq2019_TheUseofRadialBasisFunction.pdf http://eprints.utm.my/id/eprint/88600/ https://dx.doi.org/10.26555/ijain.v5i1.280
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