AI SearchThe backpropagation algorithm and group method of data handling for forecasting
Call Number: AIT Thesis no. CS-93-25 Material type:
TextSeries: Asian Institute of Technology. Thesis ; no. CS-93-25Publication details: Bangkok : Asian Institute of Technology, 1993Description: 92 leaves + 1 online resourceSubject(s): Online resources: Dissertation note: Thesis (M.Sc.) - Asian Institute of Technology, 1993 Summary: 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.
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A thesis submitted in partial fulfillment of the requirement for the degree of Master of Science
Thesis (M.Sc.) - Asian Institute of Technology, 1993
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.
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