Application of a neuro - fuzzy technique in streamflow forecasting (Record no. 6437)

MARC details
000 -LEADER
fixed length control field 03430nas|a2200397 i 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260817162826.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 041006s2004 th u|m rtt 0| a1eng d
035 ## - SYSTEM CONTROL NUMBER
System control number .b11942022
099 #9 - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number AIT Thesis no.WM-03-01
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Chau Nguyen Xuan Quang
245 10 - TITLE STATEMENT
Title Application of a neuro - fuzzy technique in streamflow forecasting
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Pathum Thani, Thailand :
Name of publisher, distributor, etc. Asian Institute of Technology,
Date of publication, distribution, etc. 2004
300 ## - PHYSICAL DESCRIPTION
Extent 51, 12, 7, 3 leaves
490 1# - SERIES STATEMENT
Series statement Thesis ;
Volume/sequential designation no. WM-03-01
500 ## - GENERAL NOTE
General note A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering
502 ## - DISSERTATION NOTE
Dissertation note Thesis (M.Eng.) - Asian Institute of Technology, 2004
520 ## - SUMMARY, ETC.
Summary, etc. The neuro - fuzzy technique (NFT), called the Adaptive Neuro - Fuzzy Based Inference System (ANFIS) was employed to forecast daily and weekly streamflow for four gauging stations, namely Yl7, Y4, Y6 and Y20 of the Yom River Basin in Thailand. The model is proposed to forecast the streamflow of one, two and three days and one week in advance. Various inputs of different types and length of training data were tried, using observed daily and weekly discharges, water level and mean areal rainfall series from 1990 to 1999 for calibration (training) and from 2000 to 2001 for verification (testing), to obtain the most accurate results. The accuracy of flood forecast is evaluated by using statistical efficiency index (EI), and root mean square error (RMSE). The results obtained from NFT model were found to be very satisfactory in both daily and weekly streamflow forecasting. The model accuracy decreases when the time of forecasting ahead is increased. However, the accuracy of results of two and three days ahead forecasting are much better when using successive day to day forecast of previous day as the input of the next days forecast. The NFT model results are very close to the results obtained by using multilayer perceptron (MLP) model and are better than the results obtained from multi variable regression (MVR) model. This study presented the application of NFT for daily and weekly streamflow forecasting with promising results. The results also indicate that NFT perfo1m slightly better than MLP and much better than MVR in flood forecasting in te1ms of accuracy. Both NFT and MLP are strongly recommended for streamflow forecasting due to their capacity in nonlinear relationship modeling.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Streamflow
General subdivision Forecasting
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fuzzy logic
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Tawatchai Tingsanchali,
Relator term Chairperson
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Clemente, Roberto S.,
Relator term Examination Committee
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name Manukid Parnichkun,
Relator term Examination Committee
710 2# - ADDED ENTRY--CORPORATE NAME
Corporate name or jurisdiction name as entry element Government of the Netherlands,
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. WM-03-01
856 ## - ELECTRONIC LOCATION AND ACCESS
Materials specified Full-Text
Uniform Resource Identifier <a href=" http://203.159.5.9/ait-thesis/detail.php?q=B09101"> http://203.159.5.9/ait-thesis/detail.php?q=B09101</a>
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b11942022
b mnait
c u
902 ## - LOCAL DATA ELEMENT B, LDB (RLIN)
a 240423
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Operator's initials, OID (RLIN) 0
Cataloger's initials, CIN (RLIN) 041006
First date, FD (RLIN) m
-- a
-- u
-- 0
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnait
945 ## - LOCAL PROCESSING INFORMATION (OCLC)
l mnarc
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 22-AIT Thesis (Replacement)
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type 40-Archives
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050160022017
CREATED CREATED : 2014-03-31
RECORD Id RECORD # : i1278364x
LPATRON LPATRON : 1028100
LCHKIN LCHKIN : 2019-12-04
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 3
-- TOT CHKOUT : 4
-- TOT RENEW : 16
909 ## - LOCAL ITEMS USED
Barcode Barcode : 30050120235964
CREATED CREATED : 2016-03-25
RECORD Id RECORD # : i12909567
LPATRON LPATRON : 0
LCHKIN LCHKIN : -
RENEWALS # RENEWALS : 0
-- # OVERDUE : 0
-- IUSE3 : 0
-- TOT CHKOUT : 0
-- TOT RENEW : 0
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Cost, normal purchase price Total checkouts 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 50.00   AIT Thesis no.WM-03-01 30050160022017 17/08/2026 3 17/08/2026 22-AIT Thesis (Replacement)
      Available for Loans Asian Institute of Technology Library Asian Institute of Technology Library Archives 17/08/2026     AIT Thesis no.WM-03-01 30050120235964 17/08/2026   17/08/2026 40-Archives
คัดลอกแล้ว!