Neuro-fuzzy systems approach to infill missing rainfall data for Klang River Catchment, Malaysia

Rainfall data can be regarded as the most essential input for various applications in hydrological sciences. Continuous rainfall data with adequate length is the main requirement to solve complex hydrological problems. Mostly in developing countries hydrologists are still facing problems of missing...

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主要な著者: Nawaz, N., Harun, S., Othman, R., Heryansyah, A.
フォーマット: 論文
言語:English
出版事項: Penerbit UTM Press 2016
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オンライン・アクセス:http://eprints.utm.my/id/eprint/70050/1/NadeemNawaz2016_Neuro-FuzzySystemsApproachtoInfill.pdf
http://eprints.utm.my/id/eprint/70050/
http://dx.doi.org/10.11113/jt.v78.9227
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