%0 Journal Article
%T Prediction of the Technology Company¡¯s Stock Price through the Deep Learning Method
%A Meng Wang
%J Open Journal of Modelling and Simulation
%P 428-440
%@ 2327-4026
%D 2022
%I Scientific Research Publishing
%R 10.4236/ojmsi.2022.104024
%X <span style=\"font-family:Verdana;\">This work aims to utilize deep learning methods CNN and LSTM to predict
the adjusted close price of eight technical companies. The proposed model is a
CNN-LSTM hybrid model, which combined CNN and LSTM layers in the model. It was
compared with the single LSTM model and double LSTM model to evaluate its
performance. The results showed the CNN-LSTM made a great prediction and can
predict a more accurate value than the other two models, but it still can be
improved to reduce overfitting problems.
%K Deep Learning
%K CNN
%K LSTM
%K Stock Forecast
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=120632