Strategies for optimising chemical instrumental analysis methods based on the ADDIE model
In order to study the optimization strategy of chemical instrumentation analysis methods, it can make the chemical instrumentation analysis methods more optimized. This paper proposes an improved sparrow search algorithm MSSA based on the ADDIE model, and a decision tree analysis method under random...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Sciendo
2024-01-01
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| Series: | Applied Mathematics and Nonlinear Sciences |
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| Online Access: | https://doi.org/10.2478/amns.2023.1.00334 |
| _version_ | 1797340893875798016 |
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| author | Ji Tao Xu Liping Luo Qian Dong Renzhi Ye Jingbo |
| author_facet | Ji Tao Xu Liping Luo Qian Dong Renzhi Ye Jingbo |
| author_sort | Ji Tao |
| collection | DOAJ |
| description | In order to study the optimization strategy of chemical instrumentation analysis methods, it can make the chemical instrumentation analysis methods more optimized. This paper proposes an improved sparrow search algorithm MSSA based on the ADDIE model, and a decision tree analysis method under random forest is introduced to assist chemical instrumentation analysis. The optimal prediction value of the algorithm is judged analytically, and adaptive operations change the size of the neighbourhood space to obtain the optimal strategy of the algorithm by a merit-seeking mechanism. The decision tree and evaluation indicators are then constructed with the decision tree under a random forest algorithm, and the indicators are used to select the optimisation path. From the experiments, it can be seen that the improved sparrow search algorithm MSSA strategy based on the ADDIE model can improve the optimisation ability of the algorithm. Furthermore, the MSSA algorithm also shows excellent performance in the experiments and obtains the best coverage effect. The coverage rate of the optimised chemical instrumentation analysis method reached 94.55%, which was 9.87%, 4.15%, 6.68%, 3.22% and 7.28% higher than other types of algorithms, respectively. It illustrates that the improved MSSA algorithm under the ADDIE model can also obtain better optimisation capability for practical chemical instrumental analysis method optimisation problems. The evaluation index complements this under the decision tree, which shows that the model is more conducive to the analytical capability of chemical instruments. It also provides a direction for solving the problem of choosing the optimal analytical method in chemical instrumentation analysis. |
| first_indexed | 2024-03-08T10:09:56Z |
| format | Article |
| id | doaj.art-a2702554fdc3442ab6b275049dc9a09f |
| institution | Directory Open Access Journal |
| issn | 2444-8656 |
| language | English |
| last_indexed | 2024-03-08T10:09:56Z |
| publishDate | 2024-01-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Applied Mathematics and Nonlinear Sciences |
| spelling | doaj.art-a2702554fdc3442ab6b275049dc9a09f2024-01-29T08:52:27ZengSciendoApplied Mathematics and Nonlinear Sciences2444-86562024-01-019110.2478/amns.2023.1.00334Strategies for optimising chemical instrumental analysis methods based on the ADDIE modelJi Tao0Xu Liping1Luo Qian2Dong Renzhi3Ye Jingbo41School of Chuanjiu, Sichuan Vocational College of Chemical Technology, Luzhou, Sichuan, 646000, P.R.China1School of Chuanjiu, Sichuan Vocational College of Chemical Technology, Luzhou, Sichuan, 646000, P.R.China2Maple Leaf International School-Luzhou, Luzhou, Sichuan, 646000, P.R.China3Sichuan Guojian Testing Co., Ltd., Luzhou 646000, P.R.China4Sichuan Zhongzhi Inspection and Testing Co., Ltd., Luzhou 646000, P.R.ChinaIn order to study the optimization strategy of chemical instrumentation analysis methods, it can make the chemical instrumentation analysis methods more optimized. This paper proposes an improved sparrow search algorithm MSSA based on the ADDIE model, and a decision tree analysis method under random forest is introduced to assist chemical instrumentation analysis. The optimal prediction value of the algorithm is judged analytically, and adaptive operations change the size of the neighbourhood space to obtain the optimal strategy of the algorithm by a merit-seeking mechanism. The decision tree and evaluation indicators are then constructed with the decision tree under a random forest algorithm, and the indicators are used to select the optimisation path. From the experiments, it can be seen that the improved sparrow search algorithm MSSA strategy based on the ADDIE model can improve the optimisation ability of the algorithm. Furthermore, the MSSA algorithm also shows excellent performance in the experiments and obtains the best coverage effect. The coverage rate of the optimised chemical instrumentation analysis method reached 94.55%, which was 9.87%, 4.15%, 6.68%, 3.22% and 7.28% higher than other types of algorithms, respectively. It illustrates that the improved MSSA algorithm under the ADDIE model can also obtain better optimisation capability for practical chemical instrumental analysis method optimisation problems. The evaluation index complements this under the decision tree, which shows that the model is more conducive to the analytical capability of chemical instruments. It also provides a direction for solving the problem of choosing the optimal analytical method in chemical instrumentation analysis.https://doi.org/10.2478/amns.2023.1.00334addie modelchemical instrumentation analysis methodsmssa optimization algorithmrandom forest decision tree algorithmoptimal prediction strategy65d99 |
| spellingShingle | Ji Tao Xu Liping Luo Qian Dong Renzhi Ye Jingbo Strategies for optimising chemical instrumental analysis methods based on the ADDIE model Applied Mathematics and Nonlinear Sciences addie model chemical instrumentation analysis methods mssa optimization algorithm random forest decision tree algorithm optimal prediction strategy 65d99 |
| title | Strategies for optimising chemical instrumental analysis methods based on the ADDIE model |
| title_full | Strategies for optimising chemical instrumental analysis methods based on the ADDIE model |
| title_fullStr | Strategies for optimising chemical instrumental analysis methods based on the ADDIE model |
| title_full_unstemmed | Strategies for optimising chemical instrumental analysis methods based on the ADDIE model |
| title_short | Strategies for optimising chemical instrumental analysis methods based on the ADDIE model |
| title_sort | strategies for optimising chemical instrumental analysis methods based on the addie model |
| topic | addie model chemical instrumentation analysis methods mssa optimization algorithm random forest decision tree algorithm optimal prediction strategy 65d99 |
| url | https://doi.org/10.2478/amns.2023.1.00334 |
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