PSO-Optimized CoVID-19 MLP-NARX Mortality Prediction Model

I. Yassin, A. Zabidi, M. Ali, R. Baharom
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引用次数: 1

Abstract

Mortality prediction models localized for Malaysia is limited, warranting a research gap to study further. A predictive model for CoVID-19 mortality prediction is presented in this paper. The model utilized the MLP-NARX structure. Parameters for the model were optimized using PSO. Prediction results yielded average MSE value of $8.1141\times 10\times ^{-7}$ with acceptable validation results.
pso优化的CoVID-19 MLP-NARX死亡率预测模型
马来西亚本地化的死亡率预测模型有限,存在研究空白,有待进一步研究。本文提出了一种新型冠状病毒病死率预测模型。模型采用MLP-NARX结构。采用粒子群算法对模型参数进行优化。预测结果产生的平均MSE值为8.1141\ × 10\ × ^{-7}$,验证结果可接受。
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