Prediction of corrosion inhibition efficiency of imidazoline derivatives using fuzzy artificial neural network based on quantum chemical characteristics

被引：0
|
作者：
Fan, Zheng [1 ]
Liu, Zhao [1 ]
Jing, Xiaoyan [1 ]
Ji, Panpan [1 ]
Zhao, Hui [2 ]
Kang, Jian [2 ]
机构：
[1] College of Chemistry & Chemical Engineering, Xi'an Shiyou University, Xi'an,Shaanxi,710065, China
[2] Fushun Petrochemical Company No.3 Refinery, CNPC, Fushun,Liaoning,113001, China
来源：
Huagong Jinzhan/Chemical Industry and Engineering Progress | 2019年 / 38卷 / 04期
关键词：
D O I：
10.16085/j.issn.1000-6613.2018-1478
中图分类号：
学科分类号：
摘要：
引用
下载
收藏
页码：1961 / 1969
相关论文
共 50 条
  • [1] Prediction of Chemical Inhibitors Efficiency for Reducing Deposition Thickness Using Artificial Neural Network
    Lashkarbolooki, M.
    Seyfaee, A.
    Esmaeilzadeh, F.
    Mowla, D.
    JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY, 2014, 35 (10) : 1393 - 1400
  • [2] Fault Prediction Using Artificial Neural Network and Fuzzy Logic
    Virk, Shafqat M.
    Muhammad, Aslam
    Martinez-Enriquez, A. M.
    PROCEEDINGS OF THE SPECIAL SESSION OF THE SEVENTH MEXICAN INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE - MICAI 2008, 2008, : 149 - +
  • [3] A Predictive Model for Corrosion Inhibition of Mild Steel by Thiophene and Its Derivatives Using Artificial Neural Network
    Khaled, K. F.
    Al-Mobarak, N. A.
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2012, 7 (02): : 1045 - 1059
  • [4] CORROSION INHIBITION CHARACTERISTICS OF SOME FURAN DERIVATIVES FROM THEIR QUANTUM CHEMICAL VALUES
    MAITRA, A
    INDIAN JOURNAL OF CHEMISTRY SECTION A-INORGANIC BIO-INORGANIC PHYSICAL THEORETICAL & ANALYTICAL CHEMISTRY, 1977, 15 (05): : 451 - 452
  • [5] Petrochemical Equipment Corrosion Prediction Based on BP Artificial Neural Network
    Li, Jiao
    Liang, Gongqian
    2015 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATION, 2015, : 238 - 242
  • [6] Prediction of siRNA knockdown efficiency using artificial neural network models
    Ge, GT
    Wong, GW
    Luo, B
    BIOCHEMICAL AND BIOPHYSICAL RESEARCH COMMUNICATIONS, 2005, 336 (02) : 723 - 728
  • [7] Using Neural Networks for Corrosion Inhibition Efficiency Prediction during Corrosion of Steel in Chloride Solutions
    Khaled, K. F.
    Sherik, Abdelmounam
    INTERNATIONAL JOURNAL OF ELECTROCHEMICAL SCIENCE, 2013, 8 (07): : 9918 - 9935
  • [8] Modelling of Behavior for Inhibition Corrosion of Bronze Using Artificial Neural Network (ANN)
    Elusai Millan-Ocampo, D.
    Parrales-Bahena, Arianna
    Gonzalo Gonzalez-Rodriguez, J.
    Silva-Martinez, Susana
    Porcayo-Calderon, Jesus
    Alfredo Hernandez-Perez, J.
    ENTROPY, 2018, 20 (06)
  • [9] Polyaniline nanotubes: Facile synthesis, electrochemical, quantum chemical characteristics and corrosion inhibition efficiency
    Morsi, Rania E.
    Khamis, E. A.
    Al-Sabagh, A. M.
    JOURNAL OF THE TAIWAN INSTITUTE OF CHEMICAL ENGINEERS, 2016, 60 : 573 - 581
  • [10] Prediction of rubberized mortar properties using artificial neural network and fuzzy logic
    Topcu, Ilker Bekir
    Saridemir, Mustafa
    JOURNAL OF MATERIALS PROCESSING TECHNOLOGY, 2008, 199 (1-3) : 108 - 118
12345