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000			02074ntm a2200289 a 4500
001			vtls000092148
003			KUKTEM
005			20251117113310.0
008			151119t2015 my da f abm 000 0 eng d
020			_aTHE0000279(Local)
039		9	_a201905141610 _bnazirah _c201711281642 _dsaini _y201511191555 _zasma
040			_aUMP
090			_aFKASA .A458 2015 r Bc.
100	0		_aAmir Aliff Amri
245	1	0	_aPrediction of flood event by using artificial neural network at Padas River / _cAmir Aliff Amri
260			_aKuantan, Pahang : _bUMP, _c2015
300			_axi, 30 p. : _bill. (some col.) ; _c30 cm. + _e1 CD ROM
500			_aFaculty of Civil Engineering and Earth Resources
502			_aProject Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015
504			_aBibliography : p. 30
520	3		_aFor 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
610	2	0	_aFaculty of Civil Engineering and Earth Resources _xDissertations
650		0	_aUniversities and Colleges _xDissertations
650		0	_aTheses
856	4	0	_uhttp://ecollib.ump.edu.my/id/eprint/9574 _zAccess in library only
999			_aVIRTUA40 _c6328 _d6334
999			_aVTLSSORT00800200040009001000245026003000500050205040520061006500650185609992