1. M. Abadi, A. Agarwal, P. Barham, E. Brevdo, Z. Chen, C. Citro, G. S. Corrado, A. Davis, J. Dean, M. Devin, S. Ghemawat, I. Goodfellow, A. Harp, G. Irving, M. Isard, Y. Jia, R. Jozefowicz, L. Kaiser, M. Kudlur, J. Levenberg, D. Mané, R. Monga, S. Moore, D. Murray, C. Olah, M. Schuster, J. Shlens, B. Steiner, I. Sutskever, K. Talwar, P. Tucker, V. Vanhoucke, V. Vasudevan, F. Viégas, O. Vinyals, P. Warden, M. Wattenberg, M. Wicke, Y. Yu, X. Zheng, TensorFlow: Large-scale machine learning on heterogeneous systems, 2015, Software available from tensorflow.org, https://www.tensorflow.org/.
2. Gaining a sense of touch object stiffness estimation using a soft gripper and neural networks;Bednarek;Electronics,2021
3. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012
4. S. Chen, Y. Huang, Z. liang Zhao, The necessary and sufficient condition for the uncertain control gain in active disturbance rejection control, arXiv:2006.11731
5. Disturbance-observer-based control and related methods-an overview;Chen;IEEE Trans. Ind. Electron.,2016