參考文獻 |
[1] C. L. Fan, and J. R. Jiang, "Surface Roughness Prediction Based on Markov Chain and Deep Neural Network for Wire Electrical Discharge Machining," in Proc. of the 2019 IEEE Eurasia Conference on IOT, Communication and Engineering, Oct. 2019.
[2] A. Mandal, and A. R. Dixit, "State of Art in Wire Electrical Discharge Machining Process and Performance," International Journal of Machining and Machinability of Materials, Vol. 16, No. 1, pp. 1-21, Jan. 2014.
[3] U. Esme, A. Sagbas, and F. Kahraman, "Prediction of Surface Roughness in Wire Electrical Discharge Machining Using Design of Experiments and Neural Networks," Iranian Journal of Science & Technology Transaction B: Engineering, Vol. 33, No. 3, pp. 231-240, June 2009.
[4] J. Kumar, "Prediction of Surface Roughness in Wire Electric Discharge Machining (WEDM) Process based on Response Surface Methodology," International Journal of Engineering and Technology, Vol. 2, No. 4, pp. 708-712, Jan. 2012.
[5] G. E. P. Box, and D. W. Behnken, "Some New Three Level Designs for the Study of Quantitative Variables," Technometrics, Vol. 2, No. 4, pp. 455-475, Nov. 1960.
[6] L. Y. Pratt, "Discriminability-Based Transfer between Neural Networks," in Proc. of the 5th International Conference on Neural Information Processing Systems, pp. 204-211, Nov. 1992.
[7] S. J. Pan, and Q. Yang, "A Survey on Transfer Learning," IEEE Transactions on Knowledge and Data Engineering, Vol. 22, No. 10, pp. 1345-1359, Oct. 2010.
[8] Y. Ganin, and V. Lempitsky, "Unsupervised Domain Adaptation by Backpropagation," in Proc. of the 32nd International Conference on International Conference on Machine Learning, Vol. 37, pp. 1180-1189, July 2015.
[9] MNIST-M dataset for Keras, https://github.com/VanushVaswani/keras_mnistm/releases, accessed in June 2020.
[10] A. S. Qureshi, A. Khan, A. Zameer, and A. Usman, "Wind Power Prediction using Deep Neural Network based Meta Regression and Transfer Learning," Applied Soft Computing, Vol. 58, pp. 742-755, May 2017.
[11] A. S. Qureshi, and A. Khan, "Adaptive Transfer Learning in Deep Neural Networks: Wind Power Prediction using Knowledge Transfer from Region to Region and Between Different Task Domains," Computational Intelligence, Oct. 2018.
[12] S. J. Pan, I. W. Tsang, J. T. Kwok, and Q. Yang, "Domain Adaptation via Transfer Component Analysis," IEEE Transactions on Neural Networks, Vol. 22, No. 2, pp. 199-210, Feb. 2011.
[13] J. Yosinski, J. Clune, Y. Bengio, and H. Lipson, "How Transferable Are Features in Deep Neural Networks?," in Proc. of the 27th International Conference on Neural Information Processing Systems, Vol. 2, pp. 3320-3328, Dec. 2014.
[14] R. Tong, L. Wang, and B. Ma, "Transfer Learning for Children′s Speech Recognition", in Proc. of 2017 International Conference on Asian Language Processing, Dec. 2017.
[15] Z. Y. He, H. D. Shao, X. Y. Zhang, J. S. Cheng, and Y. Yang, "Improved Deep Transfer Auto-Encoder for Fault Diagnosis of Gearbox Under Variable Working Conditions with Small Training Samples," IEEE Access, Vol. 7, Aug. 2019.
[16] Y. Xu, J. Du, L. R. Dai, and C. H. Lee, "Cross-language Transfer Learning for Deep Neural Network Based Speech Enhancement," in proc. of the 9th International Symposium on Chinese Spoken Language Processing, Oct. 2014.
[17] C. T. Lin, Y. R. Wang, S. H. Chen, and Y. F. Liao, "A Preliminary Study on Cross-Language Knowledge Transfer for Low-Resource Taiwanese Mandarin ASR," in Proc. of 2016 Conference of The Oriental Chapter of International Committee for Coordination and Standardization of Speech Databases and Assessment Techniques, Oct. 2016.
[18] D. X. Dong, H. Wu, W. He, D. H. Yu, and H. F. Wang, "Multi-Task Learning for Multiple Language Translation," in Proc. of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, Vol. 1, pp. 1723-1732, July 2015.
[19] J. T. Huang, J. Y. Li, D. Yu, L. Deng, and Y. F. Gong, "Cross-Language Knowledge Transfer using Multilingual Deep Neural Network with Shared Hidden Layers," in Proc. of 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2013.
[20] Y. Ganin, E. Ustinova, H. Ajakan, P. Germain, H. Larochelle, F. Laviolette, M. Marchand, and V. Lempitsky, "Domain-Adversarial Training of Neural Networks," Journal of Machine Learning Research 2016, Vol. 17, pp. 1-35, May 2016.
[21] H. Daumé III, "Frustratingly Easy Domain Adaptation," in Proc. of the 45th Annual Meeting of the Association of Computational Linguistics, pp. 256-263, June 2007.
[22] S. H. Chen, C. W. Lu, M. C. Lu, and C. P. Wang, "Parameter Design and Planning by WEDM," in 2013 Conference on Green Technology Engineering and Application, May 2013.
[23] R. Y. Xiao, and Z. Y. Xie, "放電加工原理和應用-線切割放電加工," https://wenku.baidu.com/view/7bf4db436bd97f192379e953.html?re=view, accessed in June 2020.
[24] H. Ozkan, F. Ozkan, and S. S. Kozat, "Online Anomaly Detection Under Markov Statistics with Controllable Type-I Error," IEEE Transactions on Signal Processing, Vol. 64, pp. 1435-1445, Mar. 2016. [25] K. Cho, B. V. Merrienboer, C. Gulcehre, D. Bahdanau, F. Bougares, H. Schwenk, and Y. Bengio, "Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation," Empirical Methods in Natural Language Processing, Sep. 2014.
[26] Understanding GRU Networks, https://towardsdatascience.com/understanding-gru-networks-2ef37df6c9be, accessed in June 2020.
[27] SURFCOM TOUCH - Intuitively Operated Surface Texture Measuring Instruments, https://www.msiviking.com/documents/ZEISS/form-and-surface/Zeiss_Surfcom-Touch.pdf, accessed in June 2020.
[28] E. P. DeGramo, J. T. Black, and R. A. Kohser, Materials and Processes in Manufacturing, 9th Edition, Wiley, ISBN 0-471-65653-4., Dec. 2003.
[29] L. J. Chen, "表面粗糙度及其量測," http://140.112.14.7/~measlab/course/101%E4%B8%8A/%E7%B2%BE%E5%AF%86%E9%87%8F%E6%B8%AC/%E8%A1%A8%E9%9D%A2%E7%B2%97%E5%BA%A6%E9%87%8F%E6%B8%AC%E5%8E%9F%E7%90%86%E8%88%87%E6%8A%80%E8%A1%93%20(NTU%202012).pdf, accessed in June 2020.
[30] 表面粗糙度的參數 - 最大高度, https://www.keyence.com.tw/ss/products/microscope/roughness/line/tab01_b.jsp, accessed in June 2020.
[31] 表面粗度(Surface Roughness), http://dragon.ccut.edu.tw/~mejwc1/p-mea/content/ch_18.pdf, accessed in June 2020.
[32] 表面粗糙度的參數 - 算術平均高度, https://www.keyence.com.tw/ss/products/microscope/roughness/line/parameters.jsp, accessed in June 2020.
[33] D. Zang, J. H. Liu, and H. Z. Wang, "Markov Chain-Based Feature Extraction for Anomaly Detection in Time Series and Its Industrial Application," in Proc. of 2018 Chinese Control And Decision Conference, pp. 1059-1063, June 2018.
[34] G. Klambauer, T. Unterthiner, A. Mayer, and S. Hochreiter, "Self-Normalizing Neural Networks," in Proc. of the 30th International Conference on Neural Information Processing Systems, pp. 972-981, Sep. 2017.
[35] D. P. Kingma, and J. Ba, "Adam: A Method for Stochastic Optimization," in Proc. of the 3rd International Conference for Learning Representations, Dec. 2014. |