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  • Open Access

    ARTICLE

    Holt-Winters Algorithm to Predict the Stock Value Using Recurrent Neural Network

    M. Mohan1,*, P. C. Kishore Raja2, P. Velmurugan3, A. Kulothungan4

    Intelligent Automation & Soft Computing, Vol.35, No.1, pp. 1151-1163, 2023, DOI:10.32604/iasc.2023.026255

    Abstract Prediction of stock market value is highly risky because it is based on the concept of Time Series forecasting system that can be used for investments in a safe environment with minimized chances of loss. The proposed model uses a real time dataset of fifteen Stocks as input into the system and based on the data, predicts or forecast future stock prices of different companies belonging to different sectors. The dataset includes approximately fifteen companies from different sectors and forecasts their results based on which the user can decide whether to invest in the particular company or not; the forecasting… More >

  • Open Access

    ARTICLE

    SutteARIMA: A Novel Method for Forecasting the Infant Mortality Rate in Indonesia

    Ansari Saleh Ahmar1,2,*, Eva Boj del Val3, M. A. El Safty4, Samirah AlZahrani4, Hamed El-Khawaga5,6

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 6007-6022, 2022, DOI:10.32604/cmc.2022.021382

    Abstract This study focuses on the novel forecasting method (SutteARIMA) and its application in predicting Infant Mortality Rate data in Indonesia. It undertakes a comparison of the most popular and widely used four forecasting methods: ARIMA, Neural Networks Time Series (NNAR), Holt-Winters, and SutteARIMA. The data used were obtained from the website of the World Bank. The data consisted of the annual infant mortality rate (per 1000 live births) from 1991 to 2019. To determine a suitable and best method for predicting Infant Mortality rate, the forecasting results of these four methods were compared based on the mean absolute percentage error… More >

  • Open Access

    ARTICLE

    Prediction of BRIC Stock Price Using ARIMA, SutteARIMA, and Holt-Winters

    Ansari Saleh Ahmar1, Pawan Kumar Singh2, Nguyen Van Thanh3,*, Nguyen Viet Tinh3, Vo Minh Hieu3

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 523-534, 2022, DOI:10.32604/cmc.2022.017068

    Abstract The novel coronavirus has played a disastrous role in many countries worldwide. The outbreak became a major epidemic, engulfing the entire world in lockdown and it is now speculated that its economic impact might be worse than economic deceleration and decline. This paper identifies two different models to capture the trend of closing stock prices in Brazil (BVSP), Russia (IMOEX.ME), India (BSESN), and China (SSE), i.e., (BRIC) countries. We predict the stock prices for three daily time periods, so appropriate preparations can be undertaken to solve these issues. First, we compared the ARIMA, SutteARIMA and Holt-Winters (H-W) methods to determine… More >

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