Flood Forecasting using Committee Machine with Intelligent Systems: a Framework for Advanced Machine Learning Approach

• Published in: IOP conference series. Earth and environmental science Vol. 479; no. 1; pp. 12039 - 12048
• Main Authors: Faruq, Amrul, Abdullah, Shahrum Shah, Marto, Aminaton, Che Razali, Che Munira, Mohd Hussein, Shamsul Faisal
• Format: Journal Article
• Language: English
• Published: Bristol IOP Publishing 01.06.2020
• Subjects: Artificial neural networks; Casualties; Complex systems; Deep learning; Disasters; Flood damage; Flood forecasting; Floods; Forecasting; Forecasting techniques; Fuzzy logic; Hydrology; Intelligent systems; Learning algorithms; Machine learning; Mathematical models; Model accuracy; Natural disasters; Neural networks; Optimization; Property damage; Risk management; Socioeconomic factors; Support vector machines

Among many natural hazards, flood disasters are the most incisive, causing tremendous casualties, in-depth injury to human life, property losses and agriculture, therefore affected the socioeconomic system of the area. Contributing to disaster risk reduction and the property damage associated with f...