Prediction of concrete compressive strength using evolved polynomial neural networks

被引：0
|
作者：
Hamid-Zadeh, N. [1 ]
Jamali, A. [2 ]
Nariman-Zadeh, N. [2 ]
Akbarzadeh, H. [1 ]
机构：
[1] Department of Civil Engineering, Faculty of Engineering, The University of Guilan, P.O. Box 3756, Rasht, Iran
[2] Department of Mechanical Engineering, Faculty of Engineering, The University of Guilan, P.O. Box 3756, Rasht, Iran
来源：
WSEAS Transactions on Systems | 2007年 / 6卷 / 04期
关键词：
D O I：
暂无
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：802 / 807
相关论文
共 50 条
  • [31] An improved prediction of high-performance concrete compressive strength using ensemble models and neural networks
    Umar Jibrin Muhammad
    Ismail I. Aminu
    Ismail A. Mahmoud
    U. U. Aliyu
    A. G. Usman
    Mahmud M. Jibril
    Salim Idris Malami
    Sani I. Abba
    AI in Civil Engineering, 2024, 3 (1):
  • [32] Prediction of permeability and unconfined compressive strength of pervious concrete using evolved support vector regression
    Sun, Junbo
    Zhang, Junfei
    Gu, Yunfan
    Huang, Yimiao
    Sun, Yuantian
    Ma, Guowei
    CONSTRUCTION AND BUILDING MATERIALS, 2019, 207 : 440 - 449
  • [33] Concrete strength prediction with neural networks
    Bai, J.
    Wild, S.
    Sabir, B. B.
    Morris, C. W.
    Angel, P.
    Proceedings of The Seventh International Conference on the Application of Artificial Intelligence to Civil and Structural Engineering, 2003, : 151 - 152
  • [34] Prediction of modulus of elasticity and compressive strength of concrete specimens by means of artificial neural networks
    Moretti, Jose Fernando
    Minussi, Carlos Roberto
    Akasaki, Jorge Luis
    Fioriti, Cesar Fabiano
    Pinheiro Melges, Jose Luiz
    Tashima, Mauro Mitsuuchi
    ACTA SCIENTIARUM-TECHNOLOGY, 2016, 38 (01) : 65 - 70
  • [35] Prediction of compressive strength and porosity of vegetated concrete based on hybrid BP neural networks
    Li, Qiong
    Su, Rui
    Qiao, Hongxia
    Su, Li
    Wang, Penghui
    Gong, Linhan
    MATERIALS TODAY COMMUNICATIONS, 2025, 44
  • [36] The use of neural networks in concrete compressive strength estimation
    Bilgehan, M.
    Turgut, P.
    COMPUTERS AND CONCRETE, 2010, 7 (03): : 271 - 283
  • [37] APPLICATION OF NEURAL NETWORKS IN DETERMINATION OF COMPRESSIVE STRENGTH OF CONCRETE
    Bojovic, Dragan
    Jevtic, Dragica
    Knezevic, Milos
    REVISTA ROMANA DE MATERIALE-ROMANIAN JOURNAL OF MATERIALS, 2012, 42 (01): : 16 - 22
  • [38] Prediction of strength for concrete specimens using Artificial Neural Networks
    Kaveh, A
    Khalegi, A
    ADVANCES IN ENGINEERING COMPUTATIONAL TECHNOLOGY, 1998, : 165 - 171
  • [39] Prediction of Compressive Strength of Concrete Using Artificial Neural Network and Genetic Programming
    Chopra, Palika
    Sharma, Rajendra Kumar
    Kumar, Maneek
    ADVANCES IN MATERIALS SCIENCE AND ENGINEERING, 2016, 2016
  • [40] Concrete Compressive Strength Prediction Using Rebound Method with Artificial Neural Network
    Liu, Jianming
    Li, Huijian
    He, Changjun
    MANUFACTURING SCIENCE AND MATERIALS ENGINEERING, PTS 1 AND 2, 2012, 443-444 : 34 - 39
12345