政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/88742

政大機構典藏-National Chengchi University Institutional Repository(NCCUR):Item 140.119/88742

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政大典藏 > College of Science > Department of Mathematical Sciences > Theses > Item 140.119/88742

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/88742

Title:	季節性時間序列之預測─類神經網路模式之探討 Forecasting Seasonal Time Series : A Neural Network Approach
Authors:	賴家瑞 Lia, Chia Jui
Contributors:	吳柏林 Wu, Berlin 賴家瑞 Lia, Chia Jui
Keywords:	季節性時間序列神經網路移動學習法離群值預測 seasonal time series neural networks shifting learning method outliers forecasting
Date:	1993
Issue Date:	2016-04-29 16:32:33 (UTC+8)
Abstract:	本論文主要研究以類神經網路模式預測季節性時間序列之有效性。利用適 We investigate the effectiveness of neural networks for
Reference:	Barron, A. R> (1991) Approximation bounds for superpositions of a sigmoid function. Proceedings of IEEE International Symposium on Information Theory. IEEE press. Box, G. E. P. and Jenkins, G. G. (1976) Time Series Analysis : Forecasting and Control. 2nd-ed. San Francisco : Holden-Day. Chen, C. And Liu, L. M. (1993) Forecasting time series with outliers. Journal of Forecasting, Vol. 12, 13-35. Conradsen, K. and Spliid, H. (1981) A seasonal adjustment filter for use in Box Jenkins analyses of seasonal time sereis. Applied Statistics, Vol. 30, No.1, 172-177. Cybenko, G. (1989) Approximation by superposition of a sigmoidal function. Methematics of control, signals and systems, Vol 2, 303-314. Dagum, E. B. (1975) Seasonal factor forecasts from ARIMA models, paper presented at the 40th session of the International Statistic Institute, Warsaw, Poland. Funahashi, K. I. (1989) On the approximate of continuous mappings by neural networks. Neural Networks, Vol. 2, 183-192. Hecht-Nielsen, R. (1990) Neurocomputing. Addisom-Wesley. Hornik, K., Stinchcombe, M. and White, H. (1989) Multilayer feedfoward networks are universal approximators, Neural Networks, Vol. 2, 359-366. Lee, K. Y. , Cha, Y. T. and Part, J. H. (1991) Short-term load forecasting using an artificial neural network. IEEE Winter Power Meeting , paper No.91WM 199-0 PWRS. Murthy, D. N. P. (1985) Parameter estimation with periodic observations. Journal of Time Sereis, Vol. 6, No.2. 91-96. Osborn, D. (1991) The implications of periodically varying coefficients for seasonal time-series process. Journal of Econometrics, Vol. 48, 373-384. Park, D. C. , El-Sharkawi, M. A. , Marks, R. J. , Atlas, L. E. and Damborg, M.J. (1990) Electric load forecasting using an artifical neural network. IEEE Summer Power Meeting, paper No.90SM 377-2 PWRS. Rumelhart, D. E., Hinton, G. E. and Williams, R. J. (1986) Learning representations by back-propagation errors. Nature, Vol. 323, 533-536. Vogl, T. P., Mangis, J. K., Rigler, A. K., Zink, W. T. and Alkon, D. L. (1988) Accelerating the convergence of the back-progation method. Biological Cybernetics, Vol.59, 257-263. Weiglend, A., Huberman, B. And Rumelhar, D. (1990) Predicting the future : a connectionist approach. International Journal of Neural Systems, Vol. 1, No.3, 193-209. Werbos, P. (1988) Generalization of back-propagation with application to recurrent gas market model. Neural Networks, Vol. 1. 339-256. White, H. (1981) Consequences and detection of misspecified nonlinaer regulartion models. Journal of the American Statistic Association, Vol. 76, 419-433. Wu, B. And Yu, C. (1992) Forecasting for nonstationary time series : a neural networks approach. Proceedings of the mid-America Chinese professional annual convention.
Description:	碩士國立政治大學應用數學系 80155005
Source URI:	http://thesis.lib.nccu.edu.tw/record/#B2002004239
Data Type:	thesis
Appears in Collections:	[Department of Mathematical Sciences] Theses

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