›› 2003, Vol. 24 ›› Issue (5): 719-722.

• Fundamental Theroy and Experimental Research • Previous Articles     Next Articles

Neural networks method for computation of autocovariance distance

SHE Yue-xin1,2, LIU Han-long2, GAO Yu-feng2   

  1. 1. Huaiyin Institute of Technology, Huaian 223001, China; 2. Research Institute of Geotechnical Engineering, Hohai University, Nanjing 210098, China
  • Received:2002-05-13 Online:2003-10-10 Published:2014-08-19

PDF (PC)

1370

Abstract: General regression neural networks(GRNN) are briefly analyzed. The relationship between the parameter spread of GRNN and the parameter r0 of autocovariance function (squared exponential function) is derived, and the method for computation of autocovariance distance and fitting of autocovariance function is presented based on GRNN. The study indicates that with optimum spread, GRNN can reflect the variability of soil property and the characteristics of spatial autocovariance.

Key words: autocovariance distance, autocovariance function, random field, GRNN

CLC Number: 

  • TU 412
  • Please send e-mail to pingzhou3@126.com if you would like to read full paper in English for free. Parts of our published papers have English translations.
[1] GUO Chong-yang, LI Dian-qing, CAO Zi-jun, GAO Guo-hui, TANG Xiao-song. Efficient reliability sensitivity analysis for slope stability in spatially variable soils [J]. , 2018, 39(6): 2203-2210.
[2] JIANG Shui-hua, ZENG Shao-hui, YANG Jian-hua, YAO Chi, HUANG Jin-song, ZHOU Chuang-bing,. Slope reliability analysis by simulation of non-stationary random field of undrained shear strength [J]. , 2018, 39(3): 1071-1081.
[3] ZHANG Cui-lian. Uncertainty analysis of mechanical behavior of jointed rock mass [J]. , 2016, 37(9): 2721-2727.
[4] CHEN Jian, WANG Zhan-sheng, RONG Hu-reng，. ‘Two sides of one’ method for inversion of correlated parameters random fields [J]. , 2016, 37(6): 1773-1780.
[5] SHU Su-xun，GONG Wen-hui. Radial basis function neural network-based method for slope stability analysis under two-dimensional random field [J]. , 2015, 36(4): 1205-1210.
[6] WANG chang-hong , ZHU He-hua , QIAN Qi-hu,. Application of Kriging methods and multi-fractal theory to estimate of geotechnical parameters spatial distribution [J]. , 2014, 35(S2): 386-392.
[7] WANG Tao , ZHOU Guo-qing , YIN Qi-xiang , XIA Li-jiang，. Local average method of triangular elements for discretization of random field of geotechnical parameters [J]. , 2014, 35(5): 1482-1488.
[8] ZHANG She-rong, WANG Chao, SUN Bo. Stochastic simulation and influence analysis of dissolution dam foundation under Bayes constraint random field [J]. , 2013, 34(8): 2337-2346.
[9] ZHANG She-rong, YAN Lei, WANG Chao, SUN Bo, SA Wen-qi. Evaluating adaptability to build dams on dissolution foundation system based on stochastic finite element method [J]. , 2012, 33(2): 597-603.
[10] ZHANG Ji-zhou, MIAO Lin-chang, CHEN Jun-bo. Statistical characterization of variability of lacustrine soft soil in central region of Jiangsu Province [J]. , 2010, 31(2): 471-477.
[11] WANG Ying-he, WANG Bao-tian, AN Yan-yong. Study of random field characteristics of soil parameters based on CPT measurements [J]. , 2009, 30(9): 2753-2758.
[12] YAN Shu-wang, ZHU Hong-xia, LIU Run. Numerical studies and statistic analyses of correlation distances of soil properties in Tianjin Port [J]. , 2009, 30(7): 2179-2185.
[13] WANG Fei，WANG Yuan，NI Xiao-dong. Analysis of random characteristics of seepage field by stochastic finite element method [J]. , 2009, 30(11): 3539-3542.
[14] WU Zhen-jun, WANG Shui-lin, GE Xiu-run. Slope reliability analysis by random FEM under constraint random field [J]. , 2009, 30(10): 3086-3092.
[15] LI Shao-long, ZHANG Jia-fa, ZHANG Wei, XIAO Li. Study of spatial variability and stochastic modeling of surface soil permeability [J]. , 2009, 30(10): 3168-3172.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] WU Qiong, TANG Hui-ming, WANG Liang-qing, LIN Zhi-hong. Analytic solutions for phreatic line in reservoir slope with inclined impervious bed under rainfall and reservoir water level fluctuation[J]. , 2009, 30(10): 3025 -3031 .
[2] WU Chang-yu, ZHANG Wei, LI Si-shen, ZHU Guo-sheng. Research on mechanical clogging mechanism of releaf well and its control method[J]. , 2009, 30(10): 3181 -3187 .
[3] CHEN Hong-jiang, LI Xi-bing, LIU Ai-hua. Studies of water source determination method of mine water inrush based on Bayes’ multi-group stepwise discriminant analysis theory[J]. , 2009, 30(12): 3655 -3659 .
[4] HE Fa-guo, CHEN Wen-wu, HAN Wen-feng, ZHANG Jing-ke. Correlation of microstructure indices and performance of sand solidified with polymer material SH[J]. , 2009, 30(12): 3803 -3807 .
[5] LEI Yong-sheng. Research on protective measures of City Wall and Bell Tower due to underneath crossing Xi’an Metro Line No.2[J]. , 2010, 31(1): 223 -228 .
[6] SHANG Shou-ping, SUI Xiao-xi, ZHOU Zhi-jin, LIU Fang-cheng, XIONG Wei. Study of dynamic shear modulus of granulated rubber-sand mixture[J]. , 2010, 31(2): 377 -381 .
[7] XIAO Zhong, WANG Yuan-zhan, JI Chun-ning, HUANG Tai-kun, SHAN Xu. Stability analysis of large cylindrical structure for strengthening soft foundation under wave load[J]. , 2010, 31(8): 2648 -2654 .
[8] CHAI Bo, YIN Kun-long, CHEN Li-xia, LI Yuan-yao. Analysis of slope deformation under control of rock mass structure[J]. , 2009, 30(2): 521 -525 .
[9] ZHANG Ting，LIU Han-long，HU Yu-xia，STEWART Doug. Geotechnical drum centrifuge technique and its engineering application[J]. , 2009, 30(4): 1191 -1196 .
[10] SU Guo-shao, ZHANG Ke-shi, Lü Hai-bo. A cooperative optimization method based on particle swarm optimization and Gaussian process for displacement back analysis[J]. , 2011, 32(2): 510 -515 .
Copyright © Rock and Soil Mechanics, All Rights Reserved.
Tel: 027-87198484, 87199252, 87199253, 87198752　E-mail: ytlx@whrsm.ac.cn
Powered by Beijing Magtech Co. Ltd