5 citations · 8 across the 4 of their papers we have counts for
4 papers
LTPNet Integration of Deep Learning and Environmental Decision Support Systems for Renewable Energy Demand Forecasting
Te Li, Mengze Zhang, Yan Zhou
Against the backdrop of increasingly severe global environmental changes, accurately predicting and meeting renewable energy demands has become a key challenge for sustainable busi…
Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis
Lijuan Wang, Yijia Hu, Yan Zhou
In the context of global trade, cross-border commodity pricing largely determines the competitiveness and market share of businesses. However, existing methodologies often prove in…
Stochastic volatility modeling of high-frequency CSI 300 index and dynamic jump prediction driven by machine learning
Xianfei Hui, Baiqing Sun, Indranil SenGupta +2
This paper models stochastic process of price time series of CSI 300 index in Chinese financial market, analyzes volatility characteristics of intraday high-frequency price data. I…
Deep Q-learning of global optimizer of multiply model parameters for viscoelastic imaging
Hongmei Zhang, Kai Wang, Yan Zhou +4
Objective: Estimation of the global optima of multiple model parameters is valuable in imaging to form a reliable diagnostic image. Given non convexity of the objective function, i…