@inproceedings{bc0738bba6564a018684039fa84e2aad,
title = "The Impact Factors of Neural Network Based Time Series Prediction: Taking Stock Price as an Example",
abstract = "Compared with the traditional time series prediction model, neural network has obvious advantages for the analysis of nonlinear time series data. However, the topology structure and the training algorithm of neural network have a great influence on the prediction accuracy. Taking stock data as an instance, this paper analyzes the impacts factors of prediction ability of neural network such as topology structure, training algorithm and dataset. The experimental results show that the training algorithm and the size of dataset have significant influence on the performance of neural network.",
keywords = "Impact factors, Neural network, Time series prediction",
author = "Yue Hou and Heng Liu and Bin Xie and Feng Ding",
note = "Publisher Copyright: {\textcopyright} 2020, Springer Nature Switzerland AG.; International Conference on Cyber Security Intelligence and Analytics, CSIA 2019 ; Conference date: 21-02-2019 Through 22-02-2019",
year = "2020",
doi = "10.1007/978-3-030-15235-2_134",
language = "English",
isbn = "9783030152345",
series = "Advances in Intelligent Systems and Computing",
publisher = "Springer Verlag",
pages = "1007--1014",
editor = "Zheng Xu and Choo, {Kim-Kwang Raymond} and Ali Dehghantanha and Mohammad Hammoudeh and Reza Parizi",
booktitle = "Cyber Security Intelligence and Analytics",
address = "Germany",
}