| 參考文獻 |
[1] https://www.bnext.com.tw/article/42632/what-is-ai
[2] https://www.bnext.com.tw/article/38923/BN-2016-03-14-120814- 178
[3] M. Lukoševičius and H. Jaeger, ”Reservoir computing approaches to
recurrent neural network training,” Computer Sci. Rev. 3, 127, 2009.
[4] L. Larger, A. Baylón-Fuentes and R. Martinenghi, ”High-Speed Photonic Reservoir Computing Using a Time-Delay-Based Architecture:Million Words per Second Classification,” Phys. Rev. X 7 , 011015, 2017.
[5] 張育誠, “Prediction of Sensory Input Using Echo State Network,” 碩士論文, 國立中正大學電機工程研究所, 2011.
[6] M. Lukoševičiusin, ”Neural networks: Tricks of the trade,” Künstliche
Intelligenz manuscript, 365, 2012.
[7] B. Schrauwen, D. Verstraeten and J. Campenhout, “An overview of
reservoir computing: theory, applications and implementations,”
Proceedings of the 15th European Symposium on Artificial Neural Networks, 471, 2007.
[8] C. Gallicchio and A. Micheli, “Deep reservoir computing: A critical
analysis,” European Symposium on Artificial Neural Networks,
Computational Intelligence and Machine Learning, 27, 2016.
[9] H. Jaeger, “Tutorial on training recurrent neural networks, covering
BPPT, RTRL, EKF and the echo state network,” GMD Report 159, 2002.
[10] H. Jaeger, “The “echo state” approach to analyzing and training
recurrent neural networks,” GMD Report 148, 2001.
[11] L. Richardson, ”Weather Prediction by Numerical Process,”
Cambridge, The University press, 1922.
[12] https://wol.jw.org/cmn-Hant/wol/d/r24/lp-ch/102001246
[13] 吳宗堯及葉信良, ”現有颱風預報研究成果作業化之研究(二) ,” 行政院國家科學委員會防災科技研究報告78-29號, 147, 1989.
[14] 申雍及陳守泓, ”梅雨期間作物承受豪雨風險機率之估算,” 中華農學會報 168, 93, 1994.
[15] 廖浩彥, ”利用雷達觀測直接反演氣象變數進行資料同化已改進短期定量降水預報-2008 SoWMEX IOP8 個案分析,” 碩士論文, 中央大學大氣物理研究所, 2014.
[16] 吳明進, 陸雲及童慶斌, ”區域氣候變遷模擬系統之整合與應用-子計畫VI：全球氣候變遷對台灣區域氣候與水資源衝擊之評析(I) ,” 行政院國家科學委員會, 2002.
[17] R. Deo and M. Şahin, “Application of the extreme learning machine algorithm for the prediction of monthly Effective Drought Index in eastern Australia,” Atmospheric Research Vol 153, 512, 2015.
[18] R. Hashim, ”Selection of meteorological parameters affecting rainfall estimation using neuro-fuzzy computing methodology,”
Atmospheric Research Vol 171, 21, 2016.
[19] P. Nayak, K. Sudheer and K. Ramasastri, “Fuzzy computing based rainfall–runoff model for real time flood forecasting,” Hydrological Processes Vol 19, 955, 2005.
[20] P. Nayak, K. Sudheer and D. Rangan, “A neuro-fuzzy computing technique for modeling hydrological time series,” Journal of Hydrology Vol 291, 52, 2004.
[21] 段智懷, ”倒傳遞類神經網路小區域颱風降雨預報-前饋式與遞迴式之比較,” 碩士論文,逢甲大學水利工程研究所, 2004.
[22] R. Teschl, W. Randeu and F. Teschl, ”Improving weather radar estimates of rainfall using feed-forward neural networks,” Neural networks Vol 20, 519, 2007.
[23] A. Manzato, A. Cicogna and A. Pucillo, ”6-hour maximum rain in Friuli Venezia Giulia:Climatology and ECMWF-based forecasts,” Atmospheric Research Vol 169, 465, 2016
[24] S. Sodoudi, A. Noorian and M. Geb, ”Daily precipitation forecast of ECMWF verified over Iran,” Theor Appl Climatol Vol 99, 39, 2010.
[25] H. Ruigar and S. Golian, ” Prediction of precipitation in Golestan dam watershed using climate signals,” Theor Appl Climatol Vol 123, 671, 2016.
[26] M. French, W. Krajewski and R. Cuykendall, ”Rainfall forecasting in space and time using a neural network,” Journal of Hydrology Vol 137, 1, 1992.
[27] W. Sun, S. Shan and C. Zhang, ”Prediction of Typhoon Losses in the South-East of China Based on B-P Network,” International Conference on Artificial Intelligence and Computational Intelligence, 2010.
[28] 吳明進, 陸雲及童慶斌, ”區域氣候變遷模擬系統之整合與應用-子計畫VI：全球氣候變遷對台灣區域氣候與水資源衝擊之評析(I),” 行政院國家科學委員會, 2002.
[29] 孫建平及張斐章, ”倒傳遞類神經網路演算法於時雨量預測之研究,” 農業工程研討會, 209, 1995.
[30] 張斐章, 胡湘帆及黃源義, ”反傳遞模糊類神經網路於流量推估之應用,” 中國農業工程學報, 第44卷, 第2期, 26, 1998.
[31] 林柏承, ”應用類神經網路於颱風降雨量的推估,” 碩士論文, 成功大學水利及海洋工程學系, 2000.
[32] 羅華強, ”類神經網路-MATLAB的應用,” 高立圖書, 2005.
[33] D. Smith, “Why We Lie,” St. Martin’s Press, 2004.
[34] B. DePaulo, D. Kashy and S. Kirkendol, ” Lying in Everyday Life,” Personality and Social Psychology Vol 70, 979, 1996.
[35] 徐國超, ”意在言外？--以口語化行為特徵進行『測謊鑑定前篩試驗』之可行性,” 碩士論文, 國立台北大學犯罪學研究所, 2011.
[36] 林故廷及翁景惠, ”測謊100問,” 書佑書局, 2003.
[37] National Research Council, ” The Polygraph and Lie Detection,“
The National Academic Press, 2003.
[38] C. Davatzikos, K. Ruparel and Y. Fan, ”Classifying spatial patterns of brain activity with machine learning methods: Application to lie detection,” NeuroImage Vol 28, 663, 2005.
[39] K. Park, H. Suk and H. Hwang, ”A functional analysis of deception detection of a mock crime using infrared thermal imaging and the Concealed Information Test,” Frontiers in Human Neuroscience, 7, 2013.
[40] Y. Zhou, H. Zhao and X. Pan, ” Deception detecting from speech signal using relevance vector machine and non-linear dynamics features,” Neurocomputing Vol 151, 1042, 2015.
[41] 王小川, “語音訊號處理,” 全華圖書股份有限公司, 2009.
[42] 陳奕宏, ”32位元處理器之定點數MFCC演算法的改進與探討,” 碩士論文, 國立清華大學資訊工程學系, 2006.
[43] J. Roger, "Audio Signal Processing and Recognition," (in Chinese) available at the links for on-line courses at the author′s homepage at
http://www.cs.nthu.edu.tw/~jang.
[44] 謝依蘭, ”語音訊號數位處理,” 松崗電腦圖書資料股份有限公司, 1992 |
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