Amir Aliff Amri creator text abstract or summary my Kuantan, Pahang UMP 2015 monographic eng

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xi, 30 p. : ill. (some col.) ; 30 cm. + 1 CD ROM For the past few years, the flood that hits Beaufort District became worst with no early warning given out leaving citizens unprepared. Such warning is needed and can be achieved through modelling. In this study water level of Padas River is being used to produce a model by using Artificial Neural Network to predict the occurrence of flood from the rising of water level in Sungai Padas. Artificial Neural Network with feed forward back propagation architecture are used to produce a model to where future water level are produced by using past water level. The model that has been produced in this thesis proved to be practical in doing real time water level prediction as model 3-4000-6 has given satisfactory accuracy in forecasting. Therefore early warnings can be given to unaware citizens on the rising of water level that will surpass the danger level that will lead to flood specialized Amir Aliff Amri Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015 Bibliography : p. 30 Faculty of Civil Engineering and Earth Resources Dissertations Universities and Colleges Dissertations Theses THE0000279(Local) http://ecollib.ump.edu.my/id/eprint/9574 http://ecollib.ump.edu.my/id/eprint/9574 UMP 151119 20251117113310.0 vtls000092148