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The backpropagation algorithm and group method of data handling for forecasting | |
Author | Chiang, Yung Te |
Call Number | AIT Thesis no. CS-93-25 |
Subject(s) | GMDH algorithms |
Note | A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science |
Publisher | Asian Institute of Technology |
Abstract | Comparison 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. |
Year | 1993 |
Type | Thesis |
School | School of Engineering and Technology (SET) |
Department | Department of Information and Communications Technologies (DICT) |
Academic Program/FoS | Computer Science (CS) |
Chairperson(s) | Huynh, Ngoc Phien; |
Examination Committee(s) | Nagarur, Nagendra N.;Liang, Sheng; |
Scholarship Donor(s) | Government Of R.O.C.; |
Degree | Thesis (M.Sc.) - Asian Institute of Technology, 1993 |