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The application of a back propagation model to daily flow forecasting (Record no. 6430)

MARC details
000 -LEADER
fixed length control field	03197nas\|a2200433 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20260817162825.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	951012s1993 th u m rtt 00\| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number	.b10087199
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number	AIT Thesis no. IR-92-21
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name	Gul, Riaz
245 14 - TITLE STATEMENT
Title	The application of a back propagation model to daily flow forecasting
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Bangkok :
Name of publisher, distributor, etc.	Asian Institute of Technology,
Date of publication, distribution, etc.	1993
300 ## - PHYSICAL DESCRIPTION
Extent	103 leaves +
Accompanying material	1 online resource
490 1# - SERIES STATEMENT
Series statement	Thesis ;
Volume/sequential designation	no. IR-92-21
500 ## - GENERAL NOTE
General note	A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering, School of Environment, Resources and Development
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (M.Eng.) - Asian Institute of Technology, 1993
520 ## - SUMMARY, ETC.
Summary, etc.	The present study explores the applicability of Back propagation (Neural network) model to the problem of daily flow forecasting which is of great importance from the viewpoint of water resources development and planning. Discharge and rainfall data for Nan River Basin, in the periods of 1985-1988 and 1989 were used in calibration and verification respectively. Multiple Linear Regression model is also used for the same data set for comparison purposes. From a careful comparative study, it was found that back propagation results in better forecasts compared to the multiple linear regression model. Several conclusions can be drawn from this study. Firstly the rainfall data alone could not be adequate in forecasting river flow in the Nan River Basin. The forecasts were significantly improved when discharge data at the station under consideration were included in the rainfall data. It was found that discharge at the station under consideration is a function of past discharges at that station, discharges at the upstream stations and rainfall at the upstream stations. The regression model is simple while the back propagation model is more complicated and time consuming.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element	Hydrological forecasting
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Loof, Rainer,
Relator term	Chairperson
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Nophadol In-na,
Relator term	Co-chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Huynh, Ngoc Phien,
Relator term	Examination Committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Onta, Pushpa Raj,
Relator term	Examination committee
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name	Hjorth, Peder,
Relator term	Examination committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	Government of Denmark,
Relator term	Scholarship donor
810 2# - SERIES ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element	Asian Institute of Technology.
Title of a work	Thesis ;
Volume/sequential designation	no. IR-92-21
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified	Full-Text
Uniform Resource Identifier	<a href="http://203.159.5.9/ait-thesis/detail.php?q=B16987">http://203.159.5.9/ait-thesis/detail.php?q=B16987</a>
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998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN)	2
Cataloger's initials, CIN (RLIN)	951012
First date, FD (RLIN)	m
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
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945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l	mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	20-AIT Publication
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type	40-Archives
909 ## - LOCAL ITEMS USED
Barcode	Barcode : 30050003076477
CREATED	CREATED : 1995-10-13
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Barcode	Barcode : 30050160072004
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Holdings
Not for loan	Home library	Current library	Shelving location	Date acquired	Cost, normal purchase price	Full call number	Barcode	Date last seen	Copy number	Price effective from	Koha item type
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	10.00	AIT Thesis no. IR-92-21	30050003076477	17/08/2026	1	17/08/2026	20-AIT Publication
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	AIT Publications	17/08/2026	10.00	AIT Thesis no. IR-92-21	30050003353843	17/08/2026	2	17/08/2026	20-AIT Publication
Available for Loans	Asian Institute of Technology Library	Asian Institute of Technology Library	Archives	17/08/2026		AIT Thesis no. IR-92-21	30050160072004	17/08/2026	1	17/08/2026	40-Archives

The application of a back propagation model to daily flow forecasting (Record no. 6430)

AIT

Asian Institute of Technology Library