Stock price prediction based on deep neural networks

By Pengfei Yu, Xuesong Yan. Neural computing & applications (Print), 2019

330 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/1f604ad152339e0a734f05002e6810c72b949611

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Ze Hu
2. Matloob Khushi
3. Yiqi Zhao

In Management Science and Operations Research

1. Jiazheng Li
2. Ze Hu
3. Wenjie Lu
4. Jingyang Wang
5. Matloob Khushi
6. Yiqi Zhao

Citations in the corpus

• A CNN-BiLSTM-AM method for stock price prediction (2020, background): “Predicting stock price changes in advance has always been an important issue for econo-mists [8, 9].”
• VT-ADL: A Vision Transformer Network for Image Anomaly Detection and Localization (2021, background): “A system which can perform this task in an intelligent way is hugely in demand, as its applications range from video surveillance [1] to defect segmentation [2], [3], inspection [2], quality control [4], medical imagining [5], financial transactions [6] etc.”
• A Survey of Forex and Stock Price Prediction Using Deep Learning (2021, methodology): “[74] Yu, Pengfei, and Xuesong Yan S&P 500, DJIA, the Nikkei 225 (N 225), the Hang Seng index (HSI), the China Securities index 300 (CSI 300), and the ChiNext index Closing price DNN with phase-space reconstruction (PSR) and LSTM”