中大機構典藏-NCU Institutional Repository-提供博碩士論文、考古題、期刊論文、研究計畫等下載:Item 987654321/26282
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 80990/80990 (100%)
Visitors : 43375256      Online Users : 1971
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version


    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/26282


    Title: Sensitivity analysis on a multilayer perceptron model for recognizing liquefaction cases
    Authors: Lee,CJ;Hsiung,TK
    Contributors: 土木工程研究所
    Keywords: NEURAL-NETWORKS;EARTHQUAKE
    Date: 2009
    Issue Date: 2010-06-29 17:09:53 (UTC+8)
    Publisher: 中央大學
    Abstract: In this paper, a new approach is presented for quantifying the system sensitivity of key parameters influencing the recognition of field liquefaction cases in a multilayer perceptron neural network (MLP model). A novel index, the average sensitivity factor, SFi, derived from the mathematical formulation of neural network is proposed to quantify the result of the sensitivity analysis. The SFi is a robust index of sensitivity analysis for the MLP model and can be used in the other problems not just in the recognition of field liquefaction problem. A well-trained MLP model is first developed to discriminate between the cases of liquefaction and non-liquefaction. Excellent performance and good generalization is achieved, with the higher recognition rate 98.9% in the training phase, 91.2% in testing phase and 96.6% on the overall cases. Using this model, the SFi values are then calculated and reveal that peak ground acceleration (PGA) is the most sensitive factor in both the liquefaction and non-liquefaction cases. Earthquake parameters (M-w and PGA), the stress state parameters of the soil layer (r(d), sigma(v) and sigma(v)'). and the soil resistance parameters (SPT-N, C-N, C-E and FC) play approximately equal roles. The seismic demand factors (M-w, PGA, r(d), sigma(v), and sigma(v)') is more sensitive than the liquefaction resistance capacity factors (SPT-N, C-N, C-E, and FC) in the two-class liquefaction recognition problem. (C) 2009 Elsevier Ltd. All rights reserved.
    Relation: COMPUTERS AND GEOTECHNICS
    Appears in Collections:[Graduate Institute of Civil Engineering] journal & Dissertation

    Files in This Item:

    File Description SizeFormat
    index.html0KbHTML1157View/Open


    All items in NCUIR are protected by copyright, with all rights reserved.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明