02074ntm a2200289 a 4500 vtls000092148 KUKTEM 20251117113310.0 151119t2015 my da f abm 000 0 eng d THE0000279(Local) 201905141610 nazirah 201711281642 saini 201511191555 asma UMP FKASA .A458 2015 r Bc. Amir Aliff Amri Prediction of flood event by using artificial neural network at Padas River / Amir Aliff Amri Kuantan, Pahang : UMP, 2015 xi, 30 p. : ill. (some col.) ; 30 cm. + 1 CD ROM Faculty of Civil Engineering and Earth Resources Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015 Bibliography : p. 30 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 Faculty of Civil Engineering and Earth Resources Dissertations Universities and Colleges Dissertations Theses http://ecollib.ump.edu.my/id/eprint/9574 Access in library only 0 0 0 1 10000 10000 2019-09-04 0 FKASA .A458 2015 r Bc. 0000104417 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 10000 10000 2019-09-04 0 CD 9241 | FKASA .A458 2015 r Bc. 0000104418 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 6328 6334 VTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5000*5020*5040*5200*6100*6500*6501*8560*9992