Predictive ability comparison of different versions of some well known degree dependent topological indices

Autor: Bharali, A., Nazari, Mohammad Essa, Nabavi, Amanullah
Rok vydání: 2023
Předmět:
Druh dokumentu: Working Paper
Popis: To avoid extensive lab work on properties of chemical compounds, QSPR/QSAR analysis for topological descriptors is a productive statistical approach to analyze various physicochemical properties of chemical compounds. Many researchers have investigated on correlation of degree-based topological descriptors. In this article we present the predictive ability of 6 well known degree dependant topological indices of 22 lower poly cyclic aromatic hydrocarbons in three versions, and we have done a comparison analysis of three versions of considered topological indices for their predictive ability.
Comment: 15 Pages, 5 fugures
Databáze: arXiv