王万良.人工智能及其应用[M].高等教育出版社,2015.

Cheng Yu Ku,Ting Yuan Wu,Chih Yu Liu,Wen Yang Hsu.AI-enhanced soil classification with incomplete CPT data for offshore wind farm.[J].Scientific reports,2026.

Laiba Khawaja,Usama Asif,Kennedy Onyelowe,Abdullah F. Al Asmari,Daud Khan,Muhammad Faisal Javed,Hisham Alabduljabbar.Development of machine learning models for forecasting the strength of resilient modulus of subgrade soil: genetic and artificial neural network approaches[J].Scientific Reports,2024.

ChaoSheng Tang,Bo Liu,Farshid Vahedifard,NingJun Jiang,Cheng Zhu,ZhengTao Shen,XiaoHua Pan,Qing Cheng,Bin Shi.Enhancing Soil Resilience to Climatic Wetting‐Drying Cycles Through a Bio‐Mediated Approach[J].Journal of Geophysical Research: Earth Surface,2024.

Hanxiao Shi,Anlei Wei,Xiaozhen Xu,Yaqi Zhu,Hao Hu,Songjun Tang.A CNN-LSTM based deep learning model with high accuracy and robustness for carbon price forecasting: A case of Shenzhen's carbon market in China[J].Journal of Environmental Management,2024.

An Ran,Gao Haodong,Zhang Xianwei,Chen Xin,Wang Yixian,Xu Hao.Mechanical behaviour and microstructure of granite residual bio-cemented soil by microbially induced calcite precipitation with different cementation–solution concentrations[J].Environmental Earth Sciences,2023.

Lin Shan,Liang Zenglong,Zhao Shuaixing,Dong Miao,Guo Hongwei,Zheng Hong.A comprehensive evaluation of ensemble machine learning in geotechnical stability analysis and explainability[J].International Journal of Mechanics and Materials in Design,2023.

An Ran,Zhang Xianwei,Kong Lingwei,Liu Xinyu,Chen Chang.Drying-wetting impacts on granite residual soil: a multi-scale study from macroscopic to microscopic investigations[J].Bulletin of Engineering Geology and the Environment,2022.

Li Ziqi.Extracting spatial effects from machine learning model using local interpretation method: An example of SHAP and XGBoost[J].Computers, Environment and Urban Systems,2022.

Liu Xinyu,Zhang Xianwei,Kong Lingwei,Wang Gang,Lu Jianfeng.Disintegration of granite residual soils with varying degrees of weathering[J].Engineering Geology,2022.

Feng Wenkai,Bai Huilin,Lan Bing,Wu Yiying,Wu Zhongteng,Yan Liangzheng,Ma Xinjun.Spatial–temporal distribution and failure mechanism of group-occurring landslides in Mibei village, Longchuan County, Guangdong, China[J].Landslides,2022.

Liu Xinyu,Zhang Xianwei,Kong Lingwei,Yin Song,Xu Yiqing.Shear Strength Anisotropy of Natural Granite Residual Soil[J].Journal of Geotechnical and Geoenvironmental Engineering,2022.

Liu Xinyu,Zhang Xianwei,Kong Lingwei,Li Xinming,Wang Gang.Effect of cementation on the small-strain stiffness of granite residual soil[J].Soils and Foundations,2021.

Jair Cervantes,Farid Garcia-Lamont,Lisbeth Rodríguez-Mazahua,Asdrubal Lopez.A comprehensive survey on support vector machine classification: Applications, challenges and trends[J].Neurocomputing,2020.

A. Besalatpour,M. A. Hajabbasi,S. Ayoubi,M. Afyuni,A. Jalalian,R. Schulin.Soil shear strength prediction using intelligent systems: artificial neural networks and an adaptive neuro-fuzzy inference system[J].Soil Science and Plant Nutrition,2012.

Sarat Kumar Das,Pijush Samui,Shakilu Zama Khan,Nagarathnam Sivakugan.Machine learning techniques applied to prediction of residual strength of clay[J].Open Geosciences,2011.

毛强,呙锴,周全,徐健文.花岗岩残积土抗剪强度试验研究[J].工程勘察,2025(10).

贺斌,周小文,李泽健.基于动三轴试验的花岗岩残积土结构性与动态力学特性研究[J].岩土工程学报,2025(S1).

卢建,曾鹏,冯兵,王鑫,严祖龙.强度折减采样结合SVM代理模型的土质边坡可靠度高效分析[J].地质科技通报,2026(03).

朱颖,甘建军,鹿淇瑞,邓怡武,邓坤.降雨型花岗岩残积土滑坡碎屑流运动过程分析：以湖北黄梅县袁山村为例[J].地质科技通报,2025(03).

屈鹏鑫,谢婉丽,刘琦琦,王昱琛.基于机器学习方法改进IVM-RF耦合模型的崩滑灾害危险性评价：以延安市志丹县为例[J].地质科技通报,2025(03).

庄静茹,林威,简文彬,夏昌,黄志辉.花岗岩残积土的微细观结构研究[J].中国地质灾害与防治学报,2025(02).

贾卓鹏,毕俊擘,原勇,权昕,王帅伟,孙伟超.基于LM-BPNN的高寒地区地下水微生物-毒理指标预测模型[J].地质科技通报,2025(02).

陈志波,方军,蔡锦阳,谢永宁,陈峰.试样特征对花岗岩残积土强度特性的影响[J].水土保持学报,2025(03).

何国栋,陈琛,方传峰,袁正学,郭一鹏.颗粒圆度对路用碎石集料破碎特征及力学性能的影响[J].公路交通科技,2025(03).

葛庆雷,刘国坤,李建刚,陈明芳.基于改进BP神经网络的大跨度斜拉桥抗震性能研究[J].公路工程,2025(01).

陈孝轩,陈琛,郭一鹏.干湿循环下沟渠弃土斜坡长期稳定性研究[J].水资源与水工程学报,2025(01).

孙振兴,杨忠年,辛泽宇,王荣昌,张莹莹,凌贤长.橡胶纤维加筋膨胀土的剪切强度与强度预测模型[J].吉林大学学报(地球科学版),2025(05).

姚腾浩,戚桂晌,杨雪强,黄羡伦,祝程远,毛济民.含水量变化对广州花岗岩残积土抗剪强度的影响[J].土工基础,2024(01).

李治斌,袁立月,丁黔,张淼鑫,王红梅.基于BP神经网络的改良盐渍土强度预测研究[J].水利科学与寒区工程,2021(05).

李建鑫.路基压缩强度的剪切波速评价[J].无损检测,2019(09).

陈铖,吴传云,韩中会.干密度和饱和度对花岗岩残积土抗剪强度的影响[J].铁道勘察,2018(06).

张勇,姚赫,李仁华,魏玉杰,陈祯.花岗岩残积土垂直层次抗剪强度变异性研究[J].人民长江,2016(23).

龙志东,王中文,史斌,张锐.花岗岩残积土抗剪强度及其影响因素试验[J].长沙理工大学学报(自然科学版),2016(03).