近 五 年 论 文 著 作 专 利 发 明 成 果 | [1] Hou, Z.Y. (侯泽宇), Zhao, K., Wang, S., Wang, Y., Lu, W.X. Bayesian hybrid-kernel machine-learning-assisted sensitivity analysis and sensitivity-relevant inverse modeling for groundwater DNAPL contamination. Journal of Hydrology, 2024, 633: 131009. (SCI收录,中科院分区:1区TOP,影响因子:5.9) [2] Hou, Z.Y. (侯泽宇), Lao, W.M., Wang, Y., Lu, W.X. Homotopy-based Hyper-Heuristic Searching Approach for Reciprocal Feedback Inversion of Groundwater Contamination Source and Aquifer Parameters. Applied Soft Computing, 2021, 104: 107191. (SCI收录,中科院分区:1区TOP,影响因子:7.2) [3] Hou, Z.Y. (侯泽宇), Lao, W.M., Wang, Y., Lu, W.X. Cyclic Feedback Updating Approach and Uncertainty Analysis for the Source Identification of DNAPL-contaminated Aquifers. Journal of Water Resources Planning and Management, 2021, 147(2): 04020103. (SCI收录,中科院分区:2区,影响因子:3.0) [4] Hou, Z.Y. (侯泽宇), Lao, W.M., Wang, Y., Lu, W.X. Hybrid homotopy-PSO Global Searching Approach with Multi-Kernel Extreme Learning Machine for Efficient Source Identification of DNAPL-polluted Aquifer. Computers & Geosciences, 2021, 155: 104837. (SCI收录,中科院分区:2区,影响因子:4.2) [5] Hou, Z.Y., Dai, Z.X., Lao, W.M., Wang, Y., Lu, W.X. Application of Mixed-Integer Nonlinear Optimization Programming Based on Ensemble Surrogate Model for DNAPL Source Identification in Groundwater. Environmental Engineering Science, 2019, 36(6): 699~709. (SCI收录,中科院分区:4区,影响因子:1.8) |