This study proposed a novel intelligence system utilised various machine learning techniques as individual models, including radial basis function neural network (RBF-NN), adaptive neuro-fuzzy inference system (ANFIS), support vector machine (SVM), and long short-term memory network (LSTM) to establish intelligent committee machine learning flood forecasting (ICML-FF) framework. The combination of these individual models achieved through simple averaging method, and further optimised using weighted averaging by ?-nearest neighbour (?-NN) and genetic algorithm (GA). The effectiveness of the proposed model was evaluated using real case study for Malaysia’s Kelantan River.

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Categories: Sosial, Sosioekonomi
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