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魏良穎 [到職日 : 2009-08-01]
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職稱 |
副教授 |
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最高學歷 |
國立雲林科技大學資訊管理研究所博士 |
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主要經歷 |
中央研究院生物醫學科學研究所 |
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專長 |
人工智慧、決策分析系統、時間序列、模糊理論 |
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分機 |
8630(N630) |
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E-Mail |
lywei@mail.ypu.edu.tw |
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（A）學術期刊論文（Refereed Papers）
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1.
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L.Y. Wei, C.L. Huang, C.H. Chen, (2005) Data mining of GAW14 simulated data using rough set theory and tree-based methods, BMC Genetic (SCI)
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2.
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L.Y. Wei*, C.H. Cheng, 2008, An Entropy Clustering Analysis Based on Genetic Algorithm, Journal of Intelligent and Fuzzy Systems, Vol. 19, Issue 4,5, pp. 235-241, (SCI)
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3.
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C.H. Cheng, L.Y. Wei*, Y.S. Chen, 2008, Fusion ANFIS models based on multi-stock volatility causality for TAIEX forecasting manuscript number, Neurocomputing, (SCI) |
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4.
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C.H. Cheng, L.Y. Wei*, 2008, Volatility Model based on multi-stock index for TAIEX forecasting, Expert Systems With Applications, Vol 36, Issue 3, pp 6187-6191) (SCI)
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5.
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J.F. Chang, L.Y. Wei, C.H. Cheng, 2008, ANFIS-based adaptive expectation model for forecasting stock index, International Journal of Innovative Computing, Information and Control, (EI)
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（B）研討會論文（Conference Papers）
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1.
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Cheng Ching-Hsue、Wei Ling-ying,(2007) Entropy Clustering Analysis Method Based on Adaptive Learning,10 th Joint Conference on Information Sciences |
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2.
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Cheng Ching-Hsue、Wei Ling-ying (2007) An evolutionary computation based on GA optimal clustering,International Conference on Machine Learning and Cybernetics
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3.
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Cheng Ching-Hsue、Wei Liang-Ying、Lin Tzu-Cheng (2007), Improving Relational Database Quality Based on Adaptive Learning Method for Estimating Null Value, The Second International Conference on Innovative Computing, Information and Control
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4.
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Huang Sue-Fn、Wei Liang-Ying、Chen Jr-Shian、Cheng Ching-Hsue (2008), RBF-NN Based Fusion Model for E-learning Achievement Evaluation, 2008 IEEE World Congress on Computational Intelligence
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5.
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魏良穎(2009),整合適應性網路模糊推論系統與自我回歸模型用來預測台灣空氣品質指標, 2009 健康與管理學術研討會 |
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6.
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魏良穎(2010),一個智慧型的預測模式基於美國股票與香港股票波動預測台灣股價,2010資訊與管理應用研討會
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（D）技術報告及其他著作（Technological Report &
Other Publications）
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1.
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Wei, Liang-Ying (2009) (資訊融合模型之適應性網路模糊推論系統運用於股票指數預測之研究) (博士論文)
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