Quantitative structure-property relationship modelling for predicting retention indices of essential oils based on an improved horse herd optimization algorithm.

Alharthi, A M; Kadir, D H; Al-Fakih, A M; Algamal, Z Y; Al-Thanoon, N A; Qasim, M K

Alharthi, A M; Kadir, D H; Al-Fakih, A M; Algamal, Z Y; Al-Thanoon, N A; Qasim, M K.

Afiliación

Alharthi AM; Department of Mathematics, Turabah University College, Taif University, Taif, Saudi Arabia.
Kadir DH; Department of Statistics, College of Administration and Economics, Salahaddin University-Erbil, Erbil, F.R. Iraq.
Al-Fakih AM; Department of Business Administration, Cihan University-Erbil, Erbil, Iraq.
Algamal ZY; Department of Chemistry, Faculty of Science, Universiti Teknologi Malaysia, Johor, Malaysia.
Al-Thanoon NA; Department of Chemistry, Faculty of Science, Sana'a University, Sana'a, Yemen.
Qasim MK; Department of Statistics and Informatics, University of Mosul, Mosul, Iraq.

SAR QSAR Environ Res ; 34(10): 831-846, 2023.

Article en En | MEDLINE | ID: mdl-37885432

Asunto(s)

Aceites Volátiles; Relación Estructura-Actividad Cuantitativa; Caballos; Animales; Algoritmos

Palabras clave

QSPR modelling; descriptor selection; horse herd optimization algorithm; retention indices; transfer function

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Aceites Volátiles / Relación Estructura-Actividad Cuantitativa Límite: Animals Idioma: En Revista: SAR QSAR Environ Res Asunto de la revista: SAUDE AMBIENTAL Año: 2023 Tipo del documento: Article País de afiliación: Arabia Saudita Pais de publicación: Reino Unido

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