Prediction of flood event by using artificial neural network at Padas River / (Record no. 6328)

MARC details
000 -LEADER
fixed length control field 02074ntm a2200289 a 4500
001 - CONTROL NUMBER
control field vtls000092148
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113310.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151119t2015 my da f abm 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0000279(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905141610
Level of effort used to assign nonsubject heading access points nazirah
Level of effort used to assign subject headings 201711281642
Level of effort used to assign classification saini
-- 201511191555
-- asma
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) FKASA .A458 2015 r Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amir Aliff Amri
245 10 - TITLE STATEMENT
Title Prediction of flood event by using artificial neural network at Padas River /
Statement of responsibility, etc. Amir Aliff Amri
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2015
300 ## - PHYSICAL DESCRIPTION
Extent xi, 30 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 CD ROM
500 ## - GENERAL NOTE
General note Faculty of Civil Engineering and Earth Resources
502 ## - DISSERTATION NOTE
Dissertation note Project Paper (Bachelors of Civil Engineering) -- Universiti Malaysia Pahang – 2015
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p. 30
520 3# - SUMMARY, ETC.
Summary, etc. 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
610 20 - SUBJECT ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Faculty of Civil Engineering and Earth Resources
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Universities and Colleges
General subdivision Dissertations
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Theses
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="http://ecollib.ump.edu.my/id/eprint/9574">http://ecollib.ump.edu.my/id/eprint/9574</a>
Public note Access in library only
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   FKASA .A458 2015 r Bc. 0000104417 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 9241 | FKASA .A458 2015 r Bc. 0000104418 04/09/2019 1 04/09/2019 Final Year Report

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