Mine Dust Concentration Prediction Based on PSO Neural Network
Author:
Affiliation:
1. Heilongjiang University of Technology,School of Modern Manufacturing Engineering,Jixi,China,158100
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10659746/10659754/10659759.pdf?arnumber=10659759
Reference16 articles.
1. Minerals resource rent responses to economic performance, greener energy, and environmental policy in China: Combination of ML and ANN outputs
2. The impacts of coal dust on miners’ health: A review
3. Prediction method of energy consumption for high building based on LMBP neural network
4. Impact of correlation of plug load data, occupancy rates and local weather conditions on electricity consumption in a building using four back-propagation neural network models
5. Deep sequence to sequence Bi-LSTM neural networks for day-ahead peak load forecasting
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