IMMUNE NETWORK ALGORITHM IN MONTHLY STREAMFLOW PREDICTION AT JOHOR RIVER
作者： Nur Izzah Mat Ali , Amelia Ritahani Ismail , Marlinda Abdul Malek
DOI:
关键词: Artificial immune system 、 Duration (project management) 、 Term (time) 、 Stage (hydrology) 、 Engineering 、 Streamflow 、 Redundancy (engineering) 、 Clonal selection 、 Process (engineering) 、 Algorithm
摘要: This study proposes an alternative method in generating future stream flow data with single-point river stage. Prediction of is important water resources engineering for planning and design purposes order to estimate long term forecasting. paper utilizes Artificial Immune System (AIS) modelling the one stations Johor River. AIS has abilities self-organizing, memory, recognition, adaptive ability learning inspired from immune system. Network Algorithm part three main algorithm AIS. The model of Immune used this aiNet. training process aiNet partly inspired by clonal selection principle other uses antibody interactions removing redundancy finding patterns. Like any traditional statistical stochastic techniques, results study, exhibit that, capable producing at monthly duration various advantages.
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