LIQUEFACTION POTENTIAL ASSESSMENT USING FUZZY C-MEANS CLUSTERING - ARTIFICIAL NEURAL NETWORK HYBRID METHOD (FCM-ANN)

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FATEMIKIA ROUHOLLAH; ASHAYERI IMAN; BIGLARI MAHNOUSH

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Journal: BULLETIN OF EARTHQUAKE SCIENCE AND ENGINEERING Year:2015 | Volume:2 | Issue:2 Page(s): 11-21

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Information Journal Paper

Title

LIQUEFACTION POTENTIAL ASSESSMENT USING FUZZY C-MEANS CLUSTERING - ARTIFICIAL NEURAL NETWORK HYBRID METHOD (FCM-ANN)

Author(s)

FATEMIKIA ROUHOLLAH | ASHAYERI IMAN | BIGLARI MAHNOUSH | Issue Writer Certificate

Keywords

LIQUEFACTION POTENTIAL

FUZZY C-MEANS CLUSTERING

ARTIFICIAL NEURAL NETWORK

STANDARD PENETRATION TEST

Abstract

There are various empirical and intelligent methods to evaluate the LIQUEFACTION POTENTIAL. Although the ARTIFICIAL NEURAL NETWORK (ANN) method is one of the most powerful methods that is introduced in liquefaction assessment recently, a new hybrid intelligent system of FUZZY C-MEANS CLUSTERING and ARTIFICIAL NEURAL NETWORK (FCM-ANN) is examined in this article to overcome the complexity of soil behavior...

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APA: Copy

FATEMIKIA, ROUHOLLAH, ASHAYERI, IMAN, & BIGLARI, MAHNOUSH. (2015). LIQUEFACTION POTENTIAL ASSESSMENT USING FUZZY C-MEANS CLUSTERING - ARTIFICIAL NEURAL NETWORK HYBRID METHOD (FCM-ANN). BULLETIN OF EARTHQUAKE SCIENCE AND ENGINEERING, 2(2 ), 11-21. SID. https://sid.ir/paper/265830/en

Vancouver: Copy

FATEMIKIA ROUHOLLAH, ASHAYERI IMAN, BIGLARI MAHNOUSH. LIQUEFACTION POTENTIAL ASSESSMENT USING FUZZY C-MEANS CLUSTERING - ARTIFICIAL NEURAL NETWORK HYBRID METHOD (FCM-ANN). BULLETIN OF EARTHQUAKE SCIENCE AND ENGINEERING[Internet]. 2015;2(2 ):11-21. Available from: https://sid.ir/paper/265830/en

IEEE: Copy

ROUHOLLAH FATEMIKIA, IMAN ASHAYERI, and MAHNOUSH BIGLARI, “LIQUEFACTION POTENTIAL ASSESSMENT USING FUZZY C-MEANS CLUSTERING - ARTIFICIAL NEURAL NETWORK HYBRID METHOD (FCM-ANN),” BULLETIN OF EARTHQUAKE SCIENCE AND ENGINEERING, vol. 2, no. 2 , pp. 11–21, 2015, [Online]. Available: https://sid.ir/paper/265830/en

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