COMPUTATIONAL NEURAL NETWORKS AS AN ALTERNATIVE TO THE LINEAR-REGRESSION ANALYSIS IN THE STUDIES OF QUANTITATIVE RELATIONSHIPS STRUCTURE-PROPERTY FOR THE CASE OF PHYSICOCHEMICAL PROPERTIES OF HYDROCARBONS

被引：0
|
作者：
BASKIN, II
PALYULIN, VA
ZEFIROV, NS
机构：
来源：
DOKLADY AKADEMII NAUK | 1993年 / 332卷 / 06期
关键词：
D O I：
暂无
中图分类号：
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
引用
收藏
页码：713 / 716
页数：4
相关论文
共 35 条
  • [1] Quantitative structure-property relationships for colour reagents and their colour reactions with ytterbium using regression analysis and computational neural networks
    Li, H
    Xu, L
    Yang, YQ
    Su, Q
    [J]. ANALYTICA CHIMICA ACTA, 1996, 321 (01) : 97 - 103
  • [2] Quantitative Structure-Property Relationships for the Electronic Properties of Polycyclic Aromatic Hydrocarbons
    Nguyen, Lam H.
    Truong, Thanh N.
    [J]. ACS OMEGA, 2018, 3 (08): : 8913 - 8922
  • [3] ALTERNATIVES TO LINEAR-REGRESSION ANALYSIS IN QUANTITATIVE STRUCTURE ACTIVITY RELATIONSHIPS (QUSAR)
    PLEISS, MA
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1983, 185 (MAR): : 48 - MEDI
  • [4] Quantitative structure-property relationships for colour reagents and their colour reactions with cerium using computational neural networks
    Li, H
    Xu, L
    Guo, M
    Su, Q
    [J]. TALANTA, 1997, 44 (02) : 203 - 211
  • [5] On quantitative structure-property relationship (QSPR) analysis of physicochemical properties and anti-hepatitis prescription drugs using a linear regression model
    Mahboob, Abid
    Rasheed, Muhammad Waheed
    Dhiaa, Aya Mohammed
    Hanif, Iqra
    Amin, Laiba
    [J]. HELIYON, 2024, 10 (04)
  • [6] Quantitative Structure-Property Relationships for Drug Solubility Prediction Using Evolved Neural Networks
    Cheung, Mars
    Johnson, Stephen
    Hecht, David
    Fogel, Gary B.
    [J]. 2008 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-8, 2008, : 688 - +
  • [7] Studies of solution properties of organic compounds by quantitative structure-property relationships.
    Jurs, PC
    Sutter, JM
    Engelhardt, HL
    [J]. ABSTRACTS OF PAPERS OF THE AMERICAN CHEMICAL SOCIETY, 1996, 211 : 41 - COMP
  • [8] Recursive neural networks for quantitative structure-property relationship analysis of polymers.
    Duce, C.
    Micheli, A.
    Solaro, R.
    Starita, A.
    Tine, M. R.
    [J]. ADVANCES IN COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2005, VOLS 4 A & 4 B, 2005, 4A-4B : 1546 - 1549
  • [9] Dehalogenation of persistent halogenated organic compounds: A review of computational studies and quantitative structure-property relationships
    Luo, Jin
    Hu, Jiwei
    Wei, Xionghui
    Fu, Liya
    Li, Lingyun
    [J]. CHEMOSPHERE, 2015, 131 : 17 - 33
  • [10] Quantitative structure-property relationships and neural networks:: correlation and prediction of physical properties of pure components and mixtures from molecular structure
    Bünz, AP
    Braun, B
    Janowsky, R
    [J]. FLUID PHASE EQUILIBRIA, 1999, 158 : 367 - 374
1234