篇名 |
Medicine Safety Assessment Method based on Dynamic Dual Optimization
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並列篇名 | Medicine Safety Assessment Method based on Dynamic Dual Optimization |
作者 | Ruiqi Luo、Luo Zhong |
英文摘要 | As people pay more and more attention to medicine safety issues, related medicine safety monitoring platforms are also rapidly popularized. However, previous work has poor accuracy and low efficiency in medicine safety assessment. In this paper, the medicine safety evaluation index system of the medicine safety monitoring platform is determined from four aspects: medicine research and development, medicine market, medicine production, and medicine uses. In order to solve the problems of the medicine safety evaluation model, such as low evaluation accuracy, slow convergence speed, and long training time, the dynamic dual optimization of PSO-BP medicine safety assessment method (OPSO-BP) is proposed. The weights and thresholds of BP neural network are optimized by the PSO algorithm to improve the quality of assessment. In addition, we optimize PSO: use the cosine function to dynamically adjust the inertia weight w and use the average optimal position of the individual in the population to replace the optimal position of the individual. It improves the problem that the evaluation model in the traditional algorithm is easy to fall into the local optimal solution due to the lack of generalization ability. In this paper, the effectiveness of OPSO-BP is verified by comparative experiments with the designed questionnaire data of medicine safety evaluation.
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起訖頁 | 611-619 |
關鍵詞 | Medicine safety assessment system、PSO-BP assessment model、Dynamic adjustment of inertia weight、Individual optimal solution optimization |
刊名 | 網際網路技術學刊 |
期數 | 202205 (23:3期) |
出版單位 | 台灣學術網路管理委員會 |
DOI |
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