APA (7th ed.) Citation

Liu, Y., Wang, L., & Ng, B. F. (2024). A hybrid model-data-driven framework for inverse load identification of interval structures based on physics-informed neural network and improved Kalman filter algorithm. Applied energy, 359, 122740. https://doi.org/10.1016/j.apenergy.2024.122740

Chicago Style (17th ed.) Citation

Liu, Yaru, Lei Wang, and Bing Feng Ng. "A Hybrid Model-data-driven Framework for Inverse Load Identification of Interval Structures Based on Physics-informed Neural Network and Improved Kalman Filter Algorithm." Applied Energy 359 (2024): 122740. https://doi.org/10.1016/j.apenergy.2024.122740.

MLA (9th ed.) Citation

Liu, Yaru, et al. "A Hybrid Model-data-driven Framework for Inverse Load Identification of Interval Structures Based on Physics-informed Neural Network and Improved Kalman Filter Algorithm." Applied Energy, vol. 359, 2024, p. 122740, https://doi.org/10.1016/j.apenergy.2024.122740.