Modeling of a natural lipstick formulation using an artificial neural network
An artificial neural network (ANN) was applied in conjunction with experimental data from a mixture of experimental designs to predict the melting point of a lipstick formulation. The experimental data were utilized for training and testing the suggested model. By using the ANN performance results,...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Royal Society of Chemistry
2015
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| Online Access: | http://psasir.upm.edu.my/id/eprint/45505/ http://psasir.upm.edu.my/id/eprint/45505/1/LIPSTICK.pdf |
| _version_ | 1848850511499886592 |
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| author | Abd. Gani, Siti Salwa Hashim, Puziah Mohd Mokhtar, Nor Fadzillah Basri, Mahiran Masoumi, Hamid Reza Fard Lane, Majella E. Kamairudin, Norsuhaili |
| author_facet | Abd. Gani, Siti Salwa Hashim, Puziah Mohd Mokhtar, Nor Fadzillah Basri, Mahiran Masoumi, Hamid Reza Fard Lane, Majella E. Kamairudin, Norsuhaili |
| author_sort | Abd. Gani, Siti Salwa |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | An artificial neural network (ANN) was applied in conjunction with experimental data from a mixture of experimental designs to predict the melting point of a lipstick formulation. The experimental data were utilized for training and testing the suggested model. By using the ANN performance results, the optimum parameters were found to be pitaya seed oil 25% w/w, virgin coconut oil 37% w/w, beeswax 17% w/w, candelilla wax 2% w/w, and carnauba wax 2% w/w. The relative standard error under these parameters was only 0.8772%. It was found that batch back-propagation (BBP) gave the optimal algorithm and topology with a configuration of five inputs, two hidden nodes and one output node; the most important parameter was the carnauba wax content with a relative importance of 24.5%. |
| first_indexed | 2025-11-15T10:07:27Z |
| format | Article |
| id | upm-45505 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T10:07:27Z |
| publishDate | 2015 |
| publisher | Royal Society of Chemistry |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-455052021-01-23T21:53:21Z http://psasir.upm.edu.my/id/eprint/45505/ Modeling of a natural lipstick formulation using an artificial neural network Abd. Gani, Siti Salwa Hashim, Puziah Mohd Mokhtar, Nor Fadzillah Basri, Mahiran Masoumi, Hamid Reza Fard Lane, Majella E. Kamairudin, Norsuhaili An artificial neural network (ANN) was applied in conjunction with experimental data from a mixture of experimental designs to predict the melting point of a lipstick formulation. The experimental data were utilized for training and testing the suggested model. By using the ANN performance results, the optimum parameters were found to be pitaya seed oil 25% w/w, virgin coconut oil 37% w/w, beeswax 17% w/w, candelilla wax 2% w/w, and carnauba wax 2% w/w. The relative standard error under these parameters was only 0.8772%. It was found that batch back-propagation (BBP) gave the optimal algorithm and topology with a configuration of five inputs, two hidden nodes and one output node; the most important parameter was the carnauba wax content with a relative importance of 24.5%. Royal Society of Chemistry 2015 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/45505/1/LIPSTICK.pdf Abd. Gani, Siti Salwa and Hashim, Puziah and Mohd Mokhtar, Nor Fadzillah and Basri, Mahiran and Masoumi, Hamid Reza Fard and Lane, Majella E. and Kamairudin, Norsuhaili (2015) Modeling of a natural lipstick formulation using an artificial neural network. RSC Advances, 5. pp. 68632-68638. ISSN 2046-2069 https://www.researchgate.net/publication/281061503_Modeling_of_a_natural_lipstick_formulation_using_an_artificial_neural_network/link/5600b8a008aeafc8ac8c791b/download 10.1039/c5ra12749a |
| spellingShingle | Abd. Gani, Siti Salwa Hashim, Puziah Mohd Mokhtar, Nor Fadzillah Basri, Mahiran Masoumi, Hamid Reza Fard Lane, Majella E. Kamairudin, Norsuhaili Modeling of a natural lipstick formulation using an artificial neural network |
| title | Modeling of a natural lipstick formulation using an artificial neural network |
| title_full | Modeling of a natural lipstick formulation using an artificial neural network |
| title_fullStr | Modeling of a natural lipstick formulation using an artificial neural network |
| title_full_unstemmed | Modeling of a natural lipstick formulation using an artificial neural network |
| title_short | Modeling of a natural lipstick formulation using an artificial neural network |
| title_sort | modeling of a natural lipstick formulation using an artificial neural network |
| url | http://psasir.upm.edu.my/id/eprint/45505/ http://psasir.upm.edu.my/id/eprint/45505/ http://psasir.upm.edu.my/id/eprint/45505/ http://psasir.upm.edu.my/id/eprint/45505/1/LIPSTICK.pdf |