Stock Price Prediction Using Predictive Error Compensation Wavelet Neural Networks
نویسندگان
چکیده
منابع مشابه
Forecasting Stock Market Using Wavelet Transforms and Neural Networks and ARIMA (Case study of price index of Tehran Stock Exchange)
The goal of this research is to predict total stock market index of Tehran Stock Exchange, using the compound method of ARIMA and neural network in order for the active participations of finance market as well as macro decision makers to be able to predict trend of the market. First, the series of price index was decomposed by wavelet transform, then the smooth's series predicted by using...
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ژورنال
عنوان ژورنال: Computers, materials & continua
سال: 2021
ISSN: ['1546-2218', '1546-2226']
DOI: https://doi.org/10.32604/cmc.2021.014768