COVID-19 Spread Prediction and Its Impact on the Stock market price
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- @InProceedings{Khan:2022:ICAI,
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author = "Musa Khan and Gul Muhammad Khan",
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title = "{COVID-19} Spread Prediction and Its Impact on the
Stock market price",
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booktitle = "2022 2nd International Conference on Artificial
Intelligence (ICAI)",
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year = "2022",
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pages = "140--146",
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month = "30-31 " # mar,
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address = "Islamabad, Pakistan",
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keywords = "genetic algorithms, genetic programming, Cartesian
genetic programming",
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DOI = "
doi:10.1109/ICAI55435.2022.9773481",
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abstract = "Predicting the Covid-19 spread and its impact on the
stock market is an important research challenge these
days. In order to obtain the best forecasting model, we
have exploited neuro-evolutionary technique Cartesian
genetic programming evolved artificial neural network
(CGPANN) based solution to predict the future cases of
COVID-19 up to 6-days in advance. This helps
authorities and paramedical staff to take precautionary
measures on time which helps in counteracting the
spreading of the virus. The rising number of COVID
cases has caused a significant impact on the stock
market. CGPANN being the best performer for the time
series prediction model seems ideal for the case under
consideration. The proposed model achieved an accuracy
as high as 9percent predicting COVID-19 cases for the
next six days. When compared with other contemporary
models CGPANN seems to perform well ahead in terms of
accuracy.",
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notes = "Also known as \cite{9773481}",
- }
Genetic Programming entries for
Musa Khan
Gul Muhammad Khan
Citations