Improving stock prediction accuracy using cnn and lstm
Stock price modeling and prediction is a challenging task due to its non-stationary and
dynamic nature of data. Developing an accurate stock prediction method can help investors
in making profitable decisions by reducing the investment risks. This paper proposes a deep
learning-based method for significantly improving the stock prediction accuracy using deep
learning-based methods. Two well-known methods were investigated, namely one
dimensional Convolutional Neural Network (1D-CNN) and the Long Short-Term Memory …
dynamic nature of data. Developing an accurate stock prediction method can help investors
in making profitable decisions by reducing the investment risks. This paper proposes a deep
learning-based method for significantly improving the stock prediction accuracy using deep
learning-based methods. Two well-known methods were investigated, namely one
dimensional Convolutional Neural Network (1D-CNN) and the Long Short-Term Memory …
以上显示的是最相近的搜索结果。 查看全部搜索结果