Flood forecasting at Kinabatangan River, Sabah by utilizing Artificial Neural Network (Ann) / (Record no. 6038)

MARC details
000 -LEADER
fixed length control field 02435ntm a2200289 a 4500
001 - CONTROL NUMBER
control field vtls000092263
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251117113300.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 151125t2015 my da f abm 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0000642(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905161128
Level of effort used to assign nonsubject heading access points nazirah
Level of effort used to assign subject headings 201711301551
Level of effort used to assign classification fateeha
-- 201511251539
-- 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 .N878 2015 r Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Wan Nurulhafizah Bt Abd Razak
245 10 - TITLE STATEMENT
Title Flood forecasting at Kinabatangan River, Sabah by utilizing Artificial Neural Network (Ann) /
Statement of responsibility, etc. Wan Nurulhafizah Bt Abd Razak
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 x, 37 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm.
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. 35
520 3# - SUMMARY, ETC.
Summary, etc. Flood event is among the most influential disaster in Malaysia .Therefore, the developing of flood forecasting model is to minimize the effects of flood and to achieve a model with high accuracy by utilizing Artificial Neural Network (ANN). Artificial Neural Network is a highly non-linear and can capture the complex interactions among input variables in a system without any prior knowledge about the nature of these interactions. Nowadays, ANN is widely used in prediction and forecasting in water resources. The area of study the flood forecasting is carried out at the Balat Station, Kinabatangan River, Sabah where the hourly water level data is collected from Department of Irrigation and Drainage (DID) from year 2000 until 2014. The results indicated that the model develop a highest accuracy is 6 hour time interval for 4000 iteration where the NSC result is 0.996 with lower RMSE 155.341 compared to others iteration and time interval. This modal achieved 100% at allowable error less than 500 mm which is show the prediction of water level. As a conclusion, this model shows high accuracy and water level can be used alone. This can be applied in the real world to give out warning on imminent 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/25844">http://ecollib.ump.edu.my/id/eprint/25844</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 .N878 2015 r Bc. 0000104291 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB GAMBANG UMPLIB GAMBANG 04/09/2019   CD 9330 | FKASA .N878 2015 r Bc. 0000104292 04/09/2019 1 04/09/2019 Final Year Report

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