Please use this identifier to cite or link to this item:
https://ah.lib.nccu.edu.tw/handle/140.119/88744| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 劉文卿 | zh_TW |
| dc.contributor.advisor | Liu, Wen Tsin | en_US |
| dc.contributor.author | 蔡炎龍 | zh_TW |
| dc.contributor.author | Tsai, Yen Lung | en_US |
| dc.creator | 蔡炎龍 | zh_TW |
| dc.creator | Tsai, Yen Lung | en_US |
| dc.date | 1993 | en_US |
| dc.date.accessioned | 2016-04-29T08:32:37Z | - |
| dc.date.available | 2016-04-29T08:32:37Z | - |
| dc.date.issued | 2016-04-29T08:32:37Z | - |
| dc.identifier | B2002004242 | en_US |
| dc.identifier.uri | http://nccur.lib.nccu.edu.tw/handle/140.119/88744 | - |
| dc.description | 碩士 | zh_TW |
| dc.description | 國立政治大學 | zh_TW |
| dc.description | 應用數學系 | zh_TW |
| dc.description | 80155012 | zh_TW |
| dc.description.abstract | 在許多的研究和應用之中都需要預測的技巧。本論文中, 我們建構了一個 | zh_TW |
| dc.description.abstract | The forecasting technique is important for many researches and | en_US |
| dc.description.tableofcontents | Abstract i\r\nList of Figures iv\r\nList of Tables v\r\nSection 1 introduction 1\r\n1.1 Background.................................................................................................................1\r\n1.2 DRBF Networks...........................................................................................................2\r\n1.3 The Structure of This Paper.........................................................................................3\r\n\r\nSection 2 Previous Research 4\r\n 2.1 The Approximation of Functions.................................................................................4\r\n 2.2 Feedforward Networks.................................................................................................5\r\n 2.3 Back Propagation Networks.........................................................................................6\r\n 2.4 Forecasting....................................................................................................................7\r\n\r\nSection 3 Dynamical Radial Basis Function Networks 9\r\n 3.1 RBF Networks..............................................................................................................9\r\n 3.2 DRBF Networks.........................................................................................................12\r\n 3.3 Changing Widths........................................................................................................14\r\n\r\nSection 4 Experiments 16\r\n 4.1 f(x)=4x(1-x)................................................................................................................17\r\n 4.2 f(x)=sin(-πx).............................................................................................................19\r\n 4.3 AR(1)..........................................................................................................................21\r\n 4.4 MA(1).........................................................................................................................23\r\n 4.5 Sunspots......................................................................................................................25\r\n 4.6 Discussion...................................................................................................................27\r\n\r\nSection 5 Conclusion 28\r\nReference 29 | zh_TW |
| dc.source.uri | http://thesis.lib.nccu.edu.tw/record/#B2002004242 | en_US |
| dc.subject | 神經網路 | zh_TW |
| dc.subject | 徑向基底函數 | zh_TW |
| dc.subject | 函數逼近 | zh_TW |
| dc.subject | 混沌預測 | zh_TW |
| dc.subject | neural networks | en_US |
| dc.subject | radial basis functions | en_US |
| dc.subject | chaotic forecasting | en_US |
| dc.title | 動態徑向基底函數網路與混沌預測 | zh_TW |
| dc.title | Dynamical Radial Basis Function Networks and Chaotic Forecasting | en_US |
| dc.type | thesis | en_US |
| dc.relation.reference | [1] Bishop, C.(1991). Improving the generalization properties of radial basis function neural networks. Neural Computation, 3, 579-589.\r\n[2] Broomhead, D. S., & Lowe, D. (1988). Multivariable functional interpolation and adaptive networks. Complex Systems, 2, 321-355.\r\n[3] Chen, S., Cowan, C. F. N., & Grant, P. M. (1991). Orthogonal least suares learning algorithm for radial basis function networks. IEEE Transcations on Neural Networks, 2, 302-309\r\n\r\n[4] Friedberg, S. H., Insel, A. J., & Spence, L. E. (1989). Linear Algebra. Englewood Cliffs, N.j.: Prentice-Hall, Inc.\r\n[5] Hartman, E. J., Keeler, J. D., & Kowalski, J. M. (1990). Layered neural networks with Gaussian Hidden units as universal approximations. Neural Computation, 2, 210-219.\r\n[6] Jones, R. D., Lee, Y. C., Barnes, C. W., Flake, G. W., Lee, K., Lewis, P.S., & Qian, S. (1990). Function approximation and time series prediction with neural networks. Proceedings of International Joint Confernence on Neural Networks, 1, 649-665.\r\n[7] Lapedes, A. S., & Farber, R. M. (1987). Nonlinear signal processing using neural networks: prediction and system modeling. Technical Report. Los Alamos National Laboratory, Los Alamos, New Mexico.\r\n[8] May, R. M. And Sugihara, G. (1990). Nonlinear forecasting as a way of distinguishing chaos from measurement error in time series. Nature, 344, 734-741.\r\n[9] Moody J., & Darken, C. J. (1989). Fast learning in networks of locally tuned processing units. Neural Computation, 1, 281-294.\r\n[10] Musavi, M. T., Ahmed, W., Chan, K. H., Faris, K. B., & Hummels, D. M. (1992). On the training of radial basis function classifiers, Neural Networks. 5,595-603.\r\n[11] Park, J., & Sandberg, I. W. (1991). Universal approximation using radial-basis-function networks. Neural Computation, 3, 246-257.\r\n[12] Qian, S., Lee, Y. C., Jones, R. D., Barnes, C. W., & Lee, K. (1990). Function approximation with an orthogonal basis net. Technical Report. Los Alamos National Laboratory, Los Alamos, New Mexico.\r\n[13] Rasband, S. N. (1990). Chaotic Dynamics of Nonlinear System. New York: John Wiley & Sons, Inc.\r\n[14] Rice, J. R. (1964). The Approximation of Functions. Reading, Mass: Addison-Wesley Pubblish Company, Inc.\r\n[15] Rumelhart, D. E., & McClelland, J. L. (1986). Parallel Distributed Processing: Explorations in the Microstructure of Cognition. Cambridge, Mass.: MIT Press.\r\n[16] Weigend, A. S., Huberman, B. A., & Rumelhart, D. E. (1990). Predicting the future: a connectionist approach. International Journal of Neural Systems, 1, 193-209. | zh_TW |
| item.grantfulltext | open | - |
| item.openairetype | thesis | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_46ec | - |
| item.fulltext | With Fulltext | - |
| Appears in Collections: | 學位論文 | |
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