Prediction of Daily New Death Cases Due to COVID۱۹ using Artificial Neural Network and Genetic Algorithm
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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این Paper در بخشهای موضوعی زیر دسته بندی شده است:
- علوم پزشکی > کرونا
- هوش مصنوعی > هوش مصنوعی
- هوش مصنوعی > الگوریتم ژنتیک
- هوش مصنوعی > شبکه عصبی
- هوش مصنوعی > یادگیری ماشین
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_JAISIS-3-1_002
تاریخ نمایه سازی: 23 آبان 1401
Abstract:
One of the most important and notable issues and topics in the world is artificial intelligence (AI). So, it is clear that we need to pay attention to this subject more than before and we must spend more time about studying the applications of artificial intelligence and machine learning methods in different areas. The main goal of this article is the prediction of Covid-۱۹ mortality rate using artificial neural network (ANN) and genetic algorithm (GA). GA and ANN have been used as feature selection and prediction model respectively. We have predicted new death cases in Netherlands using artificial neural network and genetic algorithm. Different technical indicators such as short moving average (SMA), moving average convergence divergence (MACD), relative strength index (RSI) and etc. have been used as input variables along with daily historical data. The result shows that machine learning (ML) can be a powerful tool in different subjects such as forecasting Covid-۱۹ mortality rate. On the other hand, GA can be a powerful method as a feature selection method and facilitating calculations. The main contribution of this paper is that for the first time, some technical indicators have been used as input variables. we have tried to use a different statistical population means Netherlands.
Keywords:
Authors
Milad Shahvaroughi Farahani
Department of Finance, Khatam University, Tehran, Iran
Amirhossein Esfahani
Department of Finance, Eslamshahr University, Tehran, Iran