J
Jun Wang
Researcher at Beijing Jiaotong University
Publications - 4
Citations - 214
Jun Wang is an academic researcher from Beijing Jiaotong University. The author has contributed to research in topics: Artificial neural network & Deep learning. The author has an hindex of 4, co-authored 4 publications receiving 168 citations.
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Journal ArticleDOI
Forecasting Model of Chinese Stock Index by Stochastic Time Effective Neural Network
TL;DR: The data of 16 years' period of Shenzhen stock index is analyzed in the stochastic time effective neural network model, and some analysis results for the fluctuations of the index are shown by the model.
Journal ArticleDOI
Exponent back propagation neural network forecasting for financial cross-correlation relationship
Haiyan Mo,Jun Wang,Hongli Niu +2 more
TL;DR: The proposed prediction model improves the activation function of the neural network, and makes an approach on cross-correlations forecasting with the particular input and output variables, and shows that the EBPNN is advantageous in increasing the predicting precision.
Journal ArticleDOI
Deep multi-hybrid forecasting system with random EWT extraction and variational learning rate algorithm for crude oil futures
TL;DR: A novel multi-hybrid predictive neural network model is proposed based on complex deep learning algorithm, which integrates empirical wavelet transform, random inheritance formula error correction algorithm, deep bidirectional LSTM neural network and Elman recurrent neural network with variational learning rate.
Journal ArticleDOI
Forecasting wavelet neural hybrid network with financial ensemble empirical mode decomposition and MCID evaluation
TL;DR: This paper combines ensemble empirical mode decomposition into wavelet neural network with random time effective (WNNRT) to establish a hybrid neural network prediction model to improve the prediction accuracy of energy prices.