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035 _a.b10104859
099 9 _aAIT Thesis no. CS-93-25
100 1 _aChiang, Yung Te
245 1 4 _aThe backpropagation algorithm and group method of data handling for forecasting
260 _aBangkok :
_bAsian Institute of Technology,
_c1993
300 _a92 leaves +
_e1 online resource
490 1 _aThesis ;
_vno. CS-93-25
500 _aA thesis submitted in partial fulfillment of the requirement for the degree of Master of Science
502 _aThesis (M.Sc.) - Asian Institute of Technology, 1993
520 _aComparison and utilization of the common neural network with back propagation algorithm (BP) and Group Method of Data Handling (GMDH) in the forecasting of some water resources time series are attempted in the present study. For this purpose, a fully user friendly software package of GMDH was developed to facilitate the application, some modifications of BP are made to simplify its use in practical situations, and all the steps involved in both algorithms are described carefully as well. Three applications are then given for this careful comparative study and it was found that neural networks can result in better forecasting accuracy as compared to GMDH.
650 0 _aGMDH algorithms
700 1 _aHuynh, Ngoc Phien,
_eChairperson
700 1 _aNagarur, Nagendra N.,
_eExamination Committee
700 1 _aLiang, Sheng,
_eExamination committee
710 2 _aGovernment Of R.O.C.,
_eScholarship donor
810 2 _aAsian Institute of Technology.
_tThesis ;
_vno. CS-93-25
856 _3Full-Text
_uhttp://203.159.5.9/ait-thesis/detail.php?q=B16135
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