• 全国中文核心期刊
  • 中国科技核心期刊
  • 美国工程索引(EI)收录期刊
  • Scopus数据库收录期刊
Feng Xiaoting, Yun Shenyang. An Uncertainty Reasoning Nethod in Expert Systems for Rock Mechanics Problems[J]. Chinese Journal of Geotechnical Engineering, 1994, 16(1): 21-28.
Citation: Feng Xiaoting, Yun Shenyang. An Uncertainty Reasoning Nethod in Expert Systems for Rock Mechanics Problems[J]. Chinese Journal of Geotechnical Engineering, 1994, 16(1): 21-28.

An Uncertainty Reasoning Nethod in Expert Systems for Rock Mechanics Problems

More Information
  • Published Date: January 20, 1994
  • The processing of the uncertainty is one of the key problems in design expert systems for rockmechanics problems. Based on analysis of uncertainty, an uncertainty reasoning method processing ran-domness, fuzziness and incompleteness was proposed. Uncertainty propagation algorithms of single-pathand multi-path inference were discussed. The certainty values of knowledes and weights of various fac-tors were learned by neural networks. It offers automation of the kilowledge acquisition task associatedwith certainty values and weights, often the most difficult parts of knowledge extraction. This approachhas been applied to the expert systems developed by authors recentiy.The inlerence results show thatthis approach is scientific and practical.
  • Related Articles

    [1]WANG Cai-jin, ZHANG Tao, LUO Jun-hui, MA Chong, DUAN Long-chen. Utilization of neural network feedback method to prediction of thermal resistivity of soils[J]. Chinese Journal of Geotechnical Engineering, 2019, 41(S2): 109-112. DOI: 10.11779/CJGE2019S2028
    [2]GAO Jie, ZHU Shi-min, CHEN Chang-fu. RBF neural network based creep model of red clay-anchor interface[J]. Chinese Journal of Geotechnical Engineering, 2018, 40(S2): 122-126. DOI: 10.11779/CJGE2018S2025
    [3]ZHAO Zhengxin, CHEN Jiansheng, CHEN Liang. Application of BP neural network to assessment of noncohesive piping-typed soils[J]. Chinese Journal of Geotechnical Engineering, 2008, 30(4): 536-540.
    [4]GUO Wenbing, DENG Kazhong, ZOU Youfeng. Study on artificial neural network method for calculation of subsidence coefficient[J]. Chinese Journal of Geotechnical Engineering, 2003, 25(2): 212-215.
    [5]ZHOU Jianping, YAN Shuwang. Artificial neural networksbased-model for forecasting critical height of GRW[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(6): 782-786.
    [6]CHEN Haijun, LI Nenghui, NIE Dexin, SHANG Yuequan. A model for prediction of rockburst by artificial neural network[J]. Chinese Journal of Geotechnical Engineering, 2002, 24(2): 229-232.
    [7]ZHU Chuanqu, MIAO Xiexing, XIE Donghai. A model for optimization of support patterns of soft rock roadway based on neural network[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(6): 708-710.
    [8]WANG Shuhong, HAO Zhe. The genetic algorithm-neural network method to forecast the miniature crack grouting in rock matrix[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(5): 572-575.
    [9]TAN Yunliang, WANG Chunqiu. A fast approaching model for rock constitutive equation by radial basis function neural network[J]. Chinese Journal of Geotechnical Engineering, 2001, 23(1): 14-17.
    [10]Liu Haowu, Cai Desuo. A neural network model of rock blasting earthquake effects in the Three Gorges project[J]. Chinese Journal of Geotechnical Engineering, 1998, 20(1): 18-21.

Catalog

    Article views (1257) PDF downloads (427) Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return