Citation: | LIU Weitao, LI Beibei, DU Yanhui, et al. Research on the recognition model of mine water inrush source based on improved SSA-BP neural network[J]. Journal of Mine Automation,2024,50(2):98-105, 115. doi: 10.13272/j.issn.1671-251x.2023070101 |
[1] |
曾一凡,武强,赵苏启,等. 我国煤矿水害事故特征、致因与防治对策[J]. 煤炭科学技术,2023,51(7):1-14.
ZENG Yifan,WU Qiang,ZHAO Suqi,et al. Characteristics,causes,and prevention measures of coal mine water hazard accidents in China[J]. Coal Science and Technology,2023,51(7):1-14.
|
[2] |
王昱同,王皓,王甜甜,等. 蒙陕接壤区浅埋煤层矿井水水化学特征及来源分析[J]. 煤田地质与勘探,2023,51(4):85-94. doi: 10.12363/issn.1001-1986.22.07.0553
WANG Yutong,WANG Hao,WANG Tiantian,et al. Hydrochemical characteristics and source analysis of mine water in shallow coal seams in Shaanxi and Inner Mongolia contiguous area[J]. Coal Geology & Exploration,2023,51(4):85-94. doi: 10.12363/issn.1001-1986.22.07.0553
|
[3] |
范立民,马万超,常波峰,等. 榆神府矿区地下水水化学特征及形成机理[J]. 煤炭科学技术,2023,51(1):383-394.
FAN Limin,MA Wanchao,CHANG Bofeng,et al. Hydrochemical characteristics and formation mechanism of groundwater in Yushenfu Mining Area[J]. Coal Science and Technology,2023,51(1):383-394.
|
[4] |
刘伟韬,刘云娟,申建军. 基于模糊物元理论的深部开采底板突水安全性评价[J]. 山东科技大学学报(自然科学版),2014,33(3):25-31.
LIU Weitao,LIU Yunjuan,SHEN Jianjun. Safety evaluation of floor water inrush in deep mining based on the fuzzy matter-element theory[J]. Journal of Shandong University of Science and Technology(Natural Science),2014,33(3):25-31.
|
[5] |
WU Qiang,MU Wenping,XING Yuan,et al. Source discrimination of mine water inrush using multiple methods:a case study from the Beiyangzhuang Mine,Northern China[J]. Bulletin of Engineering Geology & the Environment,2017(78):469-482.
|
[6] |
邵良杉,詹小凡. 基于IWOA−HKELM的矿井突水水源识别[J]. 中国安全科学学报,2019,29(9):113-118.
SHAO Liangshan,ZHAN Xiaofan. Identification method of mine water inrush source based on IWOA-HKELM[J]. China Safety Science Journal,2019,29(9):113-118.
|
[7] |
秋兴国,王瑞知,张卫国,等. 基于PCA−CRHJ模型的矿井突水水源判别[J]. 工矿自动化,2020,46(11):65-71.
QIU Xingguo,WANG Ruizhi,ZHANG Weiguo,et al. Discrimination of mine inrush water source based on PCA-CRHJ model[J]. Industry and Mine Automation,2020,46(11):65-71.
|
[8] |
LI Xiang,DONG Donglin,LIU Kun,et al. Identification of mine mixed water inrush source based on genetic algorithm and XGBoost algorithm:a case study of Huangyuchuan Mine[J]. Water,2022(14):2150-2167.
|
[9] |
段李宏,戴磊,张金陵. 基于Fisher判别模型的煤层底板突水水源预测[J]. 工矿自动化,2022,48(4):128-134.
DUAN Lihong,DAI Lei,ZHANG Jinling. Prediction of water inrush source of coal seam floor based on Fisher discriminant model[J]. Journal of Mine Automation,2022,48(4):128-134.
|
[10] |
施龙青,曲兴玥,韩进. 黄土梁峁地貌矿井水水质时空变异评估与关键控制因子水源识别[J]. 煤田地质与勘探,2023,51(2):195-206. doi: 10.12363/issn.1001-1986.22.12.0943
SHI Longqing,QU Xingyue,HAN Jin. Evaluation on spatiaotemporal variations of mine water quality and water source identification based on key dominant factors in loess hilly and gully region[J]. Coal Geology & Exploration,2023,51(2):195-206. doi: 10.12363/issn.1001-1986.22.12.0943
|
[11] |
尹会永,周鑫龙,郎宁,等. 基于SSA优化的GA−BP神经网络煤层底板突水预测模型与应用[J]. 煤田地质与勘探,2021,49(6):175-185.
YIN Huiyong,ZHOU Xinlong,LANG Ning,et al. Prediction model of water inrush from coal floor based on GA-BP neural network optimized by SSA and its application[J]. Coal Geology & Exploration,2021,49(6):175-185.
|
[12] |
黄敏,毛岸,路世昌,等. 矿井突水水源识别的主成分分析−混沌麻雀搜索−RF模型[J]. 安全与环境学报,2023,23(8):2607-2614.
HUANG Min,MAO An,LU Shichang,et al. Identification of mine water inrush source based on PCA-CSSA-RF model[J]. Journal of Safety and Environment,2023,23(8):2607-2614.
|
[13] |
LI Qiang,SUI Wanghua. Risk evaluation of mine-water inrush based on principal component logistic regression analysis and an improved analytic hierarchy process[J]. Hydrogeology Journal,2021(29):1299-1311.
|
[14] |
李海祥,曹志国,王路军,等. 台格庙矿区地下水水化学特征与演变规律研究[J]. 煤炭科学技术,2023,51(9):284-291.
LI Haixiang,CAO Zhiguo,WANG Lujun,et al. Study on chemical characteristics and evolution law of groundwater in Taigemiao Mining Area[J]. Coal Science and Technology,2023,51(9):284-291.
|
[15] |
曾一凡,梅傲霜,武强,等. 基于水化学场与水动力场示踪模拟耦合的矿井涌(突)水水源判识[J]. 煤炭学报,2022,47(12):4482-4494.
ZENG Yifan,MEI Aoshuang,WU Qiang,et al. Source discrimination of mine water inflow or inrush using hydrochemical field and hydrodynamic field tracer simulation coupling[J]. Journal of China Coal Society,2022,47(12):4482-4494.
|
[16] |
姜子豪,胡友彪,琚棋定,等. 矿井突水水源判别方法[J]. 工矿自动化,2020,46(4):28-33.
JIANG Zihao,HU Youbiao,JU Qiding,et al. A discrimination method of mine water inrush source[J]. Industry and Mine Automation,2020,46(4):28-33.
|
[17] |
闫鹏程,尚松行,张超银,等. 改进BP神经网络算法对煤矿水源的分类研究[J]. 光谱学与光谱分析,2021,41(7):2288-2293.
YAN Pengcheng,SHANG Songxing,ZHANG Chaoyin,et al. Classification of coal mine water sources by improved BP neural network algorithm[J]. Spectroscopy and Spectral Analysis,2021,41(7):2288-2293.
|
[18] |
XUE Jiankai,SHEN Bo. A novel swarm intelligence optimization approach:sparrow search algorithm[J]. Systems Science & Control Engineering,2020,8(1):22-34.
|
[19] |
李光阳,潘家文,钱谦,等. 融合学习机制的多混沌麻雀搜索算法[J]. 计算机科学与探索,2023,17(5):1057-1074.
LI Guangyang,PAN Jiawen,QIAN Qian,et al. Multi-chaotic sparrow search algorithm based on learning mechanism[J]. Journal of Frontiers of Computer Science and Technology,2023,17(5):1057-1074.
|