Sayyidah Hafidhatul Ilmi, A. N. Handayani, A. Wibawa
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引用次数: 1
Abstract
Water is essential for human life. Regional Water Supplier piping system may provide clean water for people. The company may need a forecasting system to estimate the water production. This paper implemented an Adaptive Neuro-Fuzzy Inference System (ANFIS) with hybrid learning: Least Square Estimator method and Error Backpropagation methods. The dataset used Generalized Bell membership function and clustered by Fuzzy C-Means (FCM). The selected approach produced 0.364% MAPE error value.
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