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Using virtual sample generation to build up management knowledge in the early manufacturing stages

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  • Li, Der-Chang
  • Lin, Yao-San

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  • Li, Der-Chang & Lin, Yao-San, 2006. "Using virtual sample generation to build up management knowledge in the early manufacturing stages," European Journal of Operational Research, Elsevier, vol. 175(1), pages 413-434, November.
    • Handle: RePEc:eee:ejores:v:175:y:2006:i:1:p:413-434
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    Citations

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    Cited by:

    1. He, Yan-Lin & Wang, Ping-Jiang & Zhang, Ming-Qing & Zhu, Qun-Xiong & Xu, Yuan, 2018. "A novel and effective nonlinear interpolation virtual sample generation method for enhancing energy prediction and analysis on small data problem: A case study of Ethylene industry," Energy, Elsevier, vol. 147(C), pages 418-427.
    2. Li, Der-Chiang & Lin, Liang-Sian, 2013. "A new approach to assess product lifetime performance for small data sets," European Journal of Operational Research, Elsevier, vol. 230(2), pages 290-298.
    3. Der-Chiang Li & Chun-Wu Yeh & Chieh-Chih Chen & Hung-Ta Shih, 2016. "Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process," Journal of Intelligent Manufacturing, Springer, vol. 27(6), pages 1261-1272, December.
    4. Li, Der-Chiang & Lin, Yao-San, 2008. "Learning management knowledge for manufacturing systems in the early stages using time series data," European Journal of Operational Research, Elsevier, vol. 184(1), pages 169-184, January.
    5. Lin, Yao-San & Li, Der-Chiang, 2010. "The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems," European Journal of Operational Research, Elsevier, vol. 207(1), pages 121-130, November.
    6. Yawen Wang & Shihua Zhang, 2023. "Prediction of Tumor Lymph Node Metastasis Using Wasserstein Distance-Based Generative Adversarial Networks Combing with Neural Architecture Search for Predicting," Mathematics, MDPI, vol. 11(3), pages 1-14, February.

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