| 參考文獻: | 一、 中文參考文獻
[1] 王宗惇, & 陳儒賢. (2016). 結合自組織映射圖網路與支撐向量機於颱風期間水庫入流量預測之研究. [Reservoir Inflow Forecasting During Typhoon Periods by Combining Self-Organizing Map with Support Vector Regression]. 農業工程學報, 62(2), 1-16. doi:10.29974/JTAE.201606_62(2).0001
[2] 李亭玫. (2017). 一個用於情緒分類的腦波分群方法. (碩士). 國立宜蘭大學,宜蘭縣. Retrieved from https://hdl.handle.net/11296/853kp5
[3] 謝弘一. (2011). 資料探勘於信用卡顧客行為評分模型之建構. (博士). 輔仁大學, 新北市. Retrieved from https://hdl.handle.net/11296/c79yd9
二、 英文參考文獻
[4] Charrad, M., Ghazzali, N., Boiteau, V., & Niknafs, A. (2012). NbClust package for determining the number of clusters in a dataset.
[5] Fushing, H., Liu, S.-Y., Hsieh, Y.-C., & McCowan, B. (2018). From patterned response dependency to structured covariate dependency: Entropy based. categorical-pattern-matching. PloS one, 13(6), e0198253-e0198253. doi:10.1371/journal.pone.0198253
[6] Fushing, H., & Wang, X. (2020). Coarse- and fine-scale geometric information content of Multiclass Classification and implied Data-driven Intelligence. Proceedings of Machine Learning and Data Mining in Pattern Recognition, Petra Perner (Ed.), 16th International Conference on Machine Learning and Data Mining, MLDM 2020.
[7] Gopalakrishnan, M., Sridhar, V., & Krishnamurthy, H. (1995). Some applications of clustering in the design of neural networks. Pattern Recognition Letters, 16(1), 59-65. doi:https://doi.org/10.1016/0167-8655(94)00064-A
[8] Hsieh, N.-C. (2005). Hybrid mining approach in the design of credit scoring models. Expert Systems with Applications, 28(4), 655-665. doi:https://doi.org/10.1016/j.eswa.2004.12.022
[9] Kim, Y. S., & Sohn, S. Y. (2004). Managing loan customers using misclassification patterns of credit scoring model. Expert Systems with. Applications, 26(4), 567-573. doi:https://doi.org/10.1016/j.eswa.2003.10.013
[10] Kuo, R. J., Ho, L. M., & Hu, C. M. (2002). Integration of self-organizing feature map and K-means algorithm for market segmentation. Computers & Operations. Research, 29(11), 1475-1493. doi:https://doi.org/10.1016/S0305-0548(01)00043-0
[11] Sung, A. H. (1998). Ranking importance of input parameters of neural networks. Expert Systems with Applications, 15(3), 405-411. doi:https://doi.org/10.1016/S0957-4174(98)00041-4 |
