Hybrid chemometric approach for estimating the heat of detonation of aromatic energetic compounds

被引:9
作者
Adeyemo, Hayatullahi B. [1 ,2 ]
Owolabi, Taoreed O. [3 ]
Suleiman, Muhammad A. [5 ]
Akande, Kabiru O. [6 ]
Alhiyafi, Jamal [4 ]
Fayose, Sola [3 ]
Olatunji, Sunday O. [4 ]
机构
[1] King Fahd Univ Petr & Minerals, Informat & Comp Sci Dept, Dhahran 31261, Saudi Arabia
[2] Usmanu Danfodiyo Univ, Dept Math, Comp Sci Unit, PMB 2346, Sokoto, Nigeria
[3] Adekunle Ajasin Univ, Phys & Elect Dept, Akungba Akoko 342111, Ondo State, Nigeria
[4] Imam Abdulrahman Bin Faisal Univ, Coll Comp Sci & Informat Technol, Dept Comp Sci, POB 1982, Dammam 31441, Saudi Arabia
[5] King Fahd Univ Petr & Minerals, Grad Studies, Dhahran 31261, Saudi Arabia
[6] Univ Edinburgh, Sch Engn, Inst Digital Commun, Edinburgh EH8 9AB, Midlothian, Scotland
关键词
Materials science; Heat of detonation; Organic energetic compounds; Support vector regression; Gravitational search algorithm; GRAVITATIONAL SEARCH; DESIGN; GSA;
D O I
10.1016/j.heliyon.2019.e02035
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
This work presents an elegant technique for estimating the heat of detonation (HD) of thirty organic energetic compounds by combining support vector regression (SVR) and gravitational search algorithm (GSA). The work shows that numbers of nitrogen and oxygen atoms as well as the compound molar mass are sufficient as descriptors. On the basis of three performance measuring parameters, the hybrid GSA-SVR outperforms Mortimer and Kamlet (1968), Mohammad and Hamid (2004) and Mohammad (2006) models with performance improvement of 93.951%, 86.197%, and 47.104%, respectively. The superior performance demonstrated by the proposed method would be of immense significance in containing the potential damage of the explosives through quick estimation of HD of organic energetic compounds without loss of experimental precision.
引用
收藏
页数:8
相关论文
共 26 条
  • [1] [Anonymous], 2013, INT J ADV SOFT COMPU
  • [2] Combined heat and power economic dispatch problem using gravitational search algorithm
    Beigvand, Soheil Derafshi
    Abdi, Hamdi
    La Scala, Massimo
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2016, 133 : 160 - 172
  • [3] CORTES C, 1995, MACH LEARN, V20, P273, DOI 10.1023/A:1022627411411
  • [4] Drucker H., 1996, ADV NEURAL INF PROCE, V9
  • [5] Design and analysis of capacity models for Lithium-ion battery
    Garg, Akhil
    Peng, Xiongbin
    My Loan Phung Le
    Pareek, Kapil
    Chin, C. M. M.
    [J]. MEASUREMENT, 2018, 120 : 114 - 120
  • [6] An evolutionary framework in modelling of multi-output characteristics of the bone drilling process
    Garg, Akhil
    Shankhwar, K.
    Jiang, Dazhi
    Vijayaraghavan, V.
    Panda, B. N.
    Panda, Sudhansu Sekhar
    [J]. NEURAL COMPUTING & APPLICATIONS, 2018, 29 (11) : 1233 - 1241
  • [7] Kamlet M. J., 1968, J CHEM PHYS, V23, P387
  • [8] Keshavarz MH, 2007, INDIAN J ENG MATER S, V14, P324
  • [9] Simple procedure for determining heats of detonation
    Keshavarz, MH
    [J]. THERMOCHIMICA ACTA, 2005, 428 (1-2) : 95 - 99
  • [10] An empirical method for predicting detonation pressure of CHNOFCl explosives
    Keshavarz, MH
    Pouretedal, HR
    [J]. THERMOCHIMICA ACTA, 2004, 414 (02) : 203 - 208