Estimation of missing streamflow data using various artificial intelligence methods in peninsular Malaysia

• 主要な著者: Ng J.L., Huang Y.F., Chong A.H., Ahmed A.N., Syamsunurc D.
• その他の著者: 57192698412
• フォーマット: 論文
• 出版事項: IWA Publishing 2025
• 主題: Fuzzy neural networks; Mean square error; Artificial intelligence methods; Artificial neural network; Artificial neuro-fuzzy inference system; Auto regressive integrated moving average; Autoregressive integrated moving average(ARIMA); Data estimation; Malaysia; Missing streamflow data estimation; Neural-networks; Neuro-fuzzy inference systems

Missing streamflow data is a common issue in Peninsular Malaysia, as the technologies used in hydrological studies often fail to collect data accurately. Additionally, conventional methods are still widely used in the region, which are less accurate compared to artificial intelligence (AI) methods i...