On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models
To avoid exorbitant and extensive laboratory experiments, QSPR analysis, based on topological descriptors, is a very constructive statistical approach for analyzing the numerous physical and chemical properties of compounds. Therefore, we presented some new entropy measures which are based on the su...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2022/4416647 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832551839706382336 |
|---|---|
| author | Guangwu Liu Muhammad Kamran Siddiqui Shazia Manzoor Muhammad Naeem Douhadji Abalo |
| author_facet | Guangwu Liu Muhammad Kamran Siddiqui Shazia Manzoor Muhammad Naeem Douhadji Abalo |
| author_sort | Guangwu Liu |
| collection | DOAJ |
| description | To avoid exorbitant and extensive laboratory experiments, QSPR analysis, based on topological descriptors, is a very constructive statistical approach for analyzing the numerous physical and chemical properties of compounds. Therefore, we presented some new entropy measures which are based on the sum of the neighborhood degree of the vertices. Firstly, we made the partition of the edges of benzene derivatives which are based on the degree sum of neighboring vertices and then computed the neighborhood version of entropies. Secondly, we made use of the software SPSS for developing a correlation between newly introduced entropies and the physicochemical properties of benzene derivatives. Our obtained results demonstrated that the critical temperature CT, critical pressure CP, and critical volume CV can be predicted through fifth geometric arithmetic entropy, second SK entropy, and fifth ND entropy, respectively. Other remaining physical characteristics include Gibb’s energy qℰ, logP, molar refractivity ℳℛ, and Henry’s law ℋℒ that can be predicted by using sixth ND entropy. |
| format | Article |
| id | doaj-art-dc3721ae78a74af797f14d3197742caa |
| institution | Kabale University |
| issn | 1099-0526 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-dc3721ae78a74af797f14d3197742caa2025-02-03T06:00:27ZengWileyComplexity1099-05262022-01-01202210.1155/2022/4416647On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene ModelsGuangwu Liu0Muhammad Kamran Siddiqui1Shazia Manzoor2Muhammad Naeem3Douhadji Abalo4Green & Smart River-Sea-Going ShipDepartment of MathematicsDepartment of MathematicsDepartment of Computer ScienceDepartment of MathematicsTo avoid exorbitant and extensive laboratory experiments, QSPR analysis, based on topological descriptors, is a very constructive statistical approach for analyzing the numerous physical and chemical properties of compounds. Therefore, we presented some new entropy measures which are based on the sum of the neighborhood degree of the vertices. Firstly, we made the partition of the edges of benzene derivatives which are based on the degree sum of neighboring vertices and then computed the neighborhood version of entropies. Secondly, we made use of the software SPSS for developing a correlation between newly introduced entropies and the physicochemical properties of benzene derivatives. Our obtained results demonstrated that the critical temperature CT, critical pressure CP, and critical volume CV can be predicted through fifth geometric arithmetic entropy, second SK entropy, and fifth ND entropy, respectively. Other remaining physical characteristics include Gibb’s energy qℰ, logP, molar refractivity ℳℛ, and Henry’s law ℋℒ that can be predicted by using sixth ND entropy.http://dx.doi.org/10.1155/2022/4416647 |
| spellingShingle | Guangwu Liu Muhammad Kamran Siddiqui Shazia Manzoor Muhammad Naeem Douhadji Abalo On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models Complexity |
| title | On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models |
| title_full | On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models |
| title_fullStr | On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models |
| title_full_unstemmed | On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models |
| title_short | On Curvilinear Regression Analysis via Newly Proposed Entropies for Some Benzene Models |
| title_sort | on curvilinear regression analysis via newly proposed entropies for some benzene models |
| url | http://dx.doi.org/10.1155/2022/4416647 |
| work_keys_str_mv | AT guangwuliu oncurvilinearregressionanalysisvianewlyproposedentropiesforsomebenzenemodels AT muhammadkamransiddiqui oncurvilinearregressionanalysisvianewlyproposedentropiesforsomebenzenemodels AT shaziamanzoor oncurvilinearregressionanalysisvianewlyproposedentropiesforsomebenzenemodels AT muhammadnaeem oncurvilinearregressionanalysisvianewlyproposedentropiesforsomebenzenemodels AT douhadjiabalo oncurvilinearregressionanalysisvianewlyproposedentropiesforsomebenzenemodels |