J
Jianzhou Wang
Researcher at Lanzhou University
Publications - 65
Citations - 4997
Jianzhou Wang is an academic researcher from Lanzhou University. The author has contributed to research in topics: Wind speed & Particle swarm optimization. The author has an hindex of 34, co-authored 65 publications receiving 4141 citations. Previous affiliations of Jianzhou Wang include Dongbei University of Finance and Economics.
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Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
TL;DR: The developed model shows the best accuracy comparing with basic FNN and unmodified EMD-based FNN through multi-step forecasting the mean monthly and daily wind speed in Zhangye of China.
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Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting
TL;DR: A Back Propagation neural network based on Particle Swam Optimization that combines PSO-BP with comprehensive parameter selection is introduced that achieves much better forecast performance than the basic back propagation neural network and ARIMA model.
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Forecasting stock indices with back propagation neural network
TL;DR: A new approach to forecasting the stock prices via the Wavelet De-noising-based Back Propagation (WDBP) neural network is proposed and an effective algorithm for predicting theStock prices is developed.
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A case study on a hybrid wind speed forecasting method using BP neural network
TL;DR: This paper proposes a new hybrid wind speed forecasting method based on a back-propagation (BP) neural network and the idea of eliminating seasonal effects from actual wind speed datasets using seasonal exponential adjustment that can forecast the daily average wind speed one year ahead with lower mean absolute errors.
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Stock index forecasting based on a hybrid model
TL;DR: Numerical results show that the proposed model outperforms all traditional models, including ESM, ARIMA, BPNN, the equal weight hybrid model (EWH), and the random walk model (RWM).