Journal of Jilin University(Earth Science Edition) ›› 2015, Vol. 45 ›› Issue (1): 225-231.doi: 10.13278/j.cnki.jjuese.201501204
Previous Articles Next Articles
Liu Bo1,2, Xiao Changlai1,2, Liang Xiujuan1,2
CLC Number:
| [1] 金菊良, 杨晓华, 金宝明, 等.基于遗传算法的地下水位动态预测双线性模型[J].水科学进展, 2001, 12(3):361-365. Jin Juliang, Yang Xiaohua, Jin Baoming, et al. A Bilinear Time Series Model Based on Genetic Algorithm for Predicting Groundwater Level Regime[J]. Advances in Water Science, 2001, 12(3):361-365.[2] Savic D A, Walters G A, Davidson J W. A Genetic Programming Approach to Rainfall-Runoff Modeling[J]. Water Resour Manage, 1999, 13(3):219-231.[3] Chen S K, Mangimeli P, West D. The Comparative Ability of Self-Organizing Neural Networks to Define Cluster Structure[J]. Omega, 1995, 23(3):271-279.[4] 杜超, 肖长来, 吕军, 等.地下水水质实时预报系统开发及利用:以下辽河平原为例[J].吉林大学学报:地球科学版, 2014, 44(5):1625-1632. Du Chao, Xiao Changlai, Lü Jun, et al. Development and Application of Real Time Groundwater Quality Prediction System:An Example in Lower Liaohe River Plain[J]. Journal of Jilin University:Earth Science Edition, 2014, 44(5):1625-1632.[5] Box G E P, Jenkins G M. Time Series Analysis, Forecasting and Control[M]. San Francisco:Holden-Day, 1976.[6] Hipel K W, Mcleod A I. Time Series Modeling of Water Resources and Environmental Systems[M]. Amsterdam:Elsevier, 1994.[7] Knotters M, Van Walsum V. Estimation Fluctuation Quantities from Time Series of Water Table Depths Using Models with a Stochastic Component[J]. Journal of Hydrology, 1997, 197(1/2/3/4):25-46.[8] Ahn H, Salas J D. Groundwater Head Sampling Based on Stochastic Analysis[J]. Water Resour Res, 1997, 33(12):2769-2780.[9] Kumar D, Ahmed S. Seasonal Behaviour of Spatial Variability of Groundwater Level in a Granitic Aquifer in Monsoon Climate[J]. Current Science, 2003, 84(25):188-196.[10] Gundogdu K S, Guney I.Spatial Analyses of Ground-water Levels Using Universal Kriging[J]. Journal of Earth System Science, 2007, 116(1):49-55.[11] Nag A K, Mitra A. Forecasting the Dailu Foreign Exchange Rates Using Genetically Optimized Neural Networks[J]. Journal of Forecasting, 2002, 21(7):501-511.[12] Zhang G, Patuwo B E, Hu M Y. Forecasting with Artificial Neural Networks:The State of the Art[J]. International Journal of Forecasting, 1998, 14(1):35-60.[13] Bulsari A, Saxen H. Nonlinear Time Series Analysis by Neural Networks:A Case Study[J]. Int J Neural Syst, 1993, 12(1):1-10.[14] Atiya A F. Prediction for Credit Risk Using Neural Networks:A Survey and New Results[J]. IEEE Trans Neural Netw, 2001, 12(4):929-935.[15] 孟艳, 潘宏侠.PSO聚类和梯度算法结合的RBF神经网络优化[J].自动化仪表, 2011, 32(2):6-8. Meng Yan, Pan Hongxia. Optimization of RBF Neural Network Based on Combination of PSO Clustering and Gradient Algorithms[J]. Process Automation Insterumentation, 2011, 32(2):6-8.[16] 朱明星, 张德龙. RBF网络基函数中心选取的算法研究[J]. 安徽大学学报:自然科学版, 2000, 24(1):72-74. Zhu Mingxing, Zhang Delong. Study on the Algorithms of Selecting the Radial Basis Function Center[J]. Journal of Anhui University:National Science Edition, 2000, 24(1):72-74.[17] 方力智, 张翠芳, 易芳.基于改进差分进化算法的RBF神经网络优化方法[J].成都大学学报:自然科学版, 2009, 28(3):231-234. Fang Lizhi, Zhang Cuifang, Yi Fang. Optimization Approach Based on Modified Differential Evolution Algorithm for RBF Neural Network[J]. Journal of Chengdu University:Natural Science Edition, 2009, 28(3):231-234.[18] 张江涛, 刘旭敏.一种基于代数算法的RBF神经网络优化方法[J].计算机工程与应用, 2008, 44(5):96-98. Zhang Jiangtao, Liu Xumin. Optimization Approach Based on Algebraic Algorithm for RBF Neural Network[J]. Computer Engineering and App-lications, 2008, 44(5):96-98.[19] 马洪伟, 赵志刚, 吕慧显, 等.基于蚁群聚类和裁剪方法的RBF神经网络优化算法[J].青岛大学学报:工程技术版, 2008, 23(3):35-38. Ma Hongwei, Zhao Zhigang, Lü Huixian, et al. Optimization Algorithm of RBF Neural Networks Based on Ant Colony Clustering and Pruning Method[J]. Journal of Qingdao University:Engineering and Technology, 2008, 23(3):35-38.[20] 涂松, 贲可荣, 徐荣武, 等.采用SOM和RBF优化下的水下航行器噪声源识别[J]. 计算机工程与科学, 2007, 29(10):112-114. Tu Song, Ben Kerong, Xu Rongwu, et al. Identification of the Acoustic Fault Sources of the Underwater Vehicles Based on the SOM and RBF Neural Network Optimization[J]. Computer Engineering & Science, 2007, 29(10):112-114.[21] Chen Luhsienm, Chen Chingtien, Pan Yangu.Ground-water Level Prediction Using SOM-RBFN Multisite Model[J]. Journal of Hydrologic Engineering, 2010, 15(8):624-625.[22] ASCE Task Committee on Application of Artificial Neural Networks in Hydrology. Artificial Neural Network in Hydrology[J]. Journal of Hydrologic Eng, 2000, 5(2):142-137.[23] Haykin S.Neural Networks:A Comprehensive Foun-dation[M]. London:Macmillan, 1994. |
| [1] | Li Haigang, Wang Tao, Yang Yanwei, Dong Xuezheng, Liao Liyong, Fu Xiaodong, Liu Shuolei, Ni Yumiao. Inversion of Ground Penetrating Radar Data for Underground Pipelines Based on Deep Learning [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(3): 1026-1037. |
| [2] | Zhao Tianshuo, Song Chao, Liu Cai, Xu Yuxin. Physics-Informed Neural Network Tomography (PINNtomo):Factorization Methods for the Eikonal Equation in Seismic Traveltime Inversion [J]. Journal of Jilin University(Earth Science Edition), 2026, 56(2): 694-702. |
| [3] | Wang Ya, Liu Zongbin, Ma Kuiqian, Lu Yan, Liu Chao. Pore Structure Evaluation of Low-Permeability Sandstones Based on LDA Assisted SSOM Algorithm [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(1): 298-311. |
| [4] |
Wan Xiaojie, Gong Xiangbo, Cheng Qiao, Yu Minghao.
Eliminating Low-Frequency Noise in Reverse-Time Migration Based on DeCNN #br# [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(5): 1593-1601. |
| [5] |
Li Bang, Jiang Chuandong , Wang Yuan, Tian Baofeng, Duan Qingming, Shang Xinlei, .
Random Noise Suppression for Groundwater Magnetic Resonance Sounding Data Based on Convolutional Neural Network [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(3): 775-784. |
| [6] | Yan Baizhong, Sun Jian, Wang Xinzhou, Han Na, Liu Bo. Multivariable LSTM Neural Network Model for Groundwater Levels Prediction [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(1): 208-216. |
| [7] | Feng Jinkai, Wang Qingbin, Huang Yan, Fan Diao. Point-Mass Kernel RBF Model Based on Tikhonov Regularization [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(2): 569-577. |
| [8] | Wang Yu, Lu Wenxi, Bian Jianmin, Hou Zeyu. Comparison of Three Dynamic Models for Groundwater in Western Jilin and the Application [J]. Journal of Jilin University(Earth Science Edition), 2015, 45(3): 886-891. |
| [9] | ZHOU Xiao-hua, LIN Jun, CHEN Zu-bin, JIAO Jian, GUO Tong-jian. Iterative Inversion of Microtremor Surface Wave Dispersion Curves by Improved Neural Network [J]. J4, 2011, 41(3): 900-906. |
| [10] | ZHANG Wen-chun, CHEN Jian-ping, ZHANG Li. Reservoir Bank Collapse Prediction of Fengdu Couty in Reservoir Area of Three Gorges Based on Artificial Neural Network [J]. J4, 2010, 40(2): 378-382. |
| [11] | ZHANG Chen,CHEN Jian-ping,XIAO Yun-hua. Analysis on Theory of Strength Reduction FEM Based on Artificial Neural Networks [J]. J4, 2009, 39(1): 114-0118. |
| [12] | HAO Li-bo,JIANG Yan-ming,LU Ji-long,SUN Shu-mei,BAI Rong-jie. Identification of Quaternary Sediments Types Used by Multi-Purpose Geochemical Data-With Probabilistic Neural Networks Method [J]. J4, 2008, 38(6): 1081-1084. |
| [13] | QIU Dao-hong, CHEN Jian-ping, QUE Jin-sheng, AN Peng-cheng. Evaluation of Tunnel Rock Quality with Routh Sets Theory and Artificial Neural Networks [J]. J4, 2008, 38(1): 86-0091. |
|