Prediction of the strength and elasticity modulus of gypsum using multiple regression, ANN, and ANFIS models

被引：257
|
作者：
Yilmaz, Isik [1 ]
Yuksek, Guerkan [2 ]
机构：
[1] Cumhuriyet Univ, Dept Geol Engn, Fac Engn, TR-58140 Sivas, Turkey
[2] Cumhuriyet Univ, Vocat Sch Sivas, TR-58140 Sivas, Turkey
来源：
INTERNATIONAL JOURNAL OF ROCK MECHANICS AND MINING SCIENCES | 2009年 / 46卷 / 04期
关键词：
UNIAXIAL COMPRESSIVE STRENGTH; ROCK STRENGTH; FUZZY MODEL; POROSITY;
D O I：
10.1016/j.ijrmms.2008.09.002
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
[No abstract available]
引用
收藏
页码：803 / 810
页数：8
相关论文
共 50 条
  • [31] PERFORMANCE EVALUATION OF THE ANN AND ANFIS MODELS IN URBAN TRAFFIC NOISE PREDICTION
    Coduri, Muhammed Yasin
    Atalay, Ahmet
    Unal, Ahmet
    FRESENIUS ENVIRONMENTAL BULLETIN, 2017, 26 (06): : 4254 - 4260
  • [32] Radial forging force prediction through MR, ANN, and ANFIS models
    A. Azari
    M. Poursina
    D. Poursina
    Neural Computing and Applications, 2014, 25 : 849 - 858
  • [33] Prediction of modulus of elasticity of FA concrete using crushing strength, UPV and RHN values
    Ansari, Mohd A.
    Shariq, M.
    Mahdi, F.
    Ansari, Saad S.
    COMPUTERS AND CONCRETE, 2024, 34 (01): : 787 - 802
  • [34] Compressive Strength Prediction of HVFA Control Concrete Using ANN and PSO-ANN Models
    Rajeshwari, R.
    Sukomal, Mandal
    Rajasekaran, C.
    INTERNATIONAL JOURNAL OF ECOLOGY & DEVELOPMENT, 2020, 35 (01) : 59 - 74
  • [35] PREDICTION OF MODULUS OF ELASTICITY USING ACOUSTIC CHARACTERISTICS
    Lagana, Rastislav
    Rohanova, Alena
    ACTA FACULTATIS XYLOLOGIAE ZVOLEN, 2014, 56 (01): : 5 - 12
  • [36] Prediction of the compressive strength of no-slump concrete: A comparative study of regression, neural network and ANFIS models
    Sobhani, Jafar
    Najimi, Meysam
    Pourkhorshidi, Ali Reza
    Parhizkar, Tayebeh
    CONSTRUCTION AND BUILDING MATERIALS, 2010, 24 (05) : 709 - 718
  • [37] Forecasting compressive strength of jute fiber reinforced concrete using ANFIS, ANN, RF and RT models
    Kashyap V.
    Poddar A.
    Sihag P.
    Kumar B.
    Asian Journal of Civil Engineering, 2024, 25 (2) : 2033 - 2044
  • [38] Prediction of compressive strength of concrete using multiple regression model
    Chore, H. S.
    Shelke, N. L.
    STRUCTURAL ENGINEERING AND MECHANICS, 2013, 45 (06) : 837 - 851
  • [39] Damage level prediction of non-reshaped berm breakwater using ANN, SVM and ANFIS models
    Mandal, Sukomal
    Rao, Subba
    Harish, N.
    Lokesha
    INTERNATIONAL JOURNAL OF NAVAL ARCHITECTURE AND OCEAN ENGINEERING, 2012, 4 (02) : 112 - 122
  • [40] Prediction of lightweight concrete strength by categorized regression, MLR and ANN
    Tavakkol, S.
    Alapour, F.
    Kazemian, A.
    Hasaninejad, A.
    Ghanbari, A.
    Ramezanianpour, A. A.
    COMPUTERS AND CONCRETE, 2013, 12 (02): : 151 - 167
12345