Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search
Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition. However, the existing hyper-parameter optimization algorithms are mostly for continuous hyper-parameters, and rarely for the optimization of intege...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-06-01
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| Series: | Entropy |
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| Online Access: | https://www.mdpi.com/1099-4300/24/6/845 |
| _version_ | 1797487621086117888 |
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| author | Yu Tong Bo Yu |
| author_facet | Yu Tong Bo Yu |
| author_sort | Yu Tong |
| collection | DOAJ |
| description | Activity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition. However, the existing hyper-parameter optimization algorithms are mostly for continuous hyper-parameters, and rarely for the optimization of integer hyper-parameters and mixed hyper-parameters. To solve the problem, this paper improved the traditional cuckoo algorithm. The improved algorithm can optimize not only continuous hyper-parameters, but also integer hyper-parameters and mixed hyper-parameters. This paper validated the proposed method with the hyper-parameters in Least Squares Support Vector Machine (LS-SVM) and Long-Short-Term Memory (LSTM), and compared the activity recognition effects before and after optimization on the smart home activity recognition data set. The results show that the improved cuckoo algorithm can effectively improve the performance of the model in activity recognition. |
| first_indexed | 2024-03-09T23:50:20Z |
| format | Article |
| id | doaj.art-1a5aa2cd6da54009949452902fe10ba7 |
| institution | Directory Open Access Journal |
| issn | 1099-4300 |
| language | English |
| last_indexed | 2024-03-09T23:50:20Z |
| publishDate | 2022-06-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Entropy |
| spelling | doaj.art-1a5aa2cd6da54009949452902fe10ba72023-11-23T16:34:05ZengMDPI AGEntropy1099-43002022-06-0124684510.3390/e24060845Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo SearchYu Tong0Bo Yu1School of Computer Science and Technology, Hefei Normal University, Hefei 230601, ChinaSchool of Civil Engineering, Hefei University of Technology, Hefei 230009, ChinaActivity recognition methods often include some hyper-parameters based on experience, which greatly affects their effectiveness in activity recognition. However, the existing hyper-parameter optimization algorithms are mostly for continuous hyper-parameters, and rarely for the optimization of integer hyper-parameters and mixed hyper-parameters. To solve the problem, this paper improved the traditional cuckoo algorithm. The improved algorithm can optimize not only continuous hyper-parameters, but also integer hyper-parameters and mixed hyper-parameters. This paper validated the proposed method with the hyper-parameters in Least Squares Support Vector Machine (LS-SVM) and Long-Short-Term Memory (LSTM), and compared the activity recognition effects before and after optimization on the smart home activity recognition data set. The results show that the improved cuckoo algorithm can effectively improve the performance of the model in activity recognition.https://www.mdpi.com/1099-4300/24/6/845activity recognitioncuckoo optimization algorithmhyper-parameter |
| spellingShingle | Yu Tong Bo Yu Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search Entropy activity recognition cuckoo optimization algorithm hyper-parameter |
| title | Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search |
| title_full | Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search |
| title_fullStr | Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search |
| title_full_unstemmed | Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search |
| title_short | Research on Hyper-Parameter Optimization of Activity Recognition Algorithm Based on Improved Cuckoo Search |
| title_sort | research on hyper parameter optimization of activity recognition algorithm based on improved cuckoo search |
| topic | activity recognition cuckoo optimization algorithm hyper-parameter |
| url | https://www.mdpi.com/1099-4300/24/6/845 |
| work_keys_str_mv | AT yutong researchonhyperparameteroptimizationofactivityrecognitionalgorithmbasedonimprovedcuckoosearch AT boyu researchonhyperparameteroptimizationofactivityrecognitionalgorithmbasedonimprovedcuckoosearch |