Prediction of Matte grade in Copper Flash Smelting Process based on LSTM and Mechanism Model
Author:
Affiliation:
1. Central South University,Changsha,China,410083
Funder
National Key R&D Program of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9901509/9901494/09902639.pdf?arnumber=9902639
Reference16 articles.
1. Time-series well performance prediction based on Long Short-Term Memory (LSTM) neural network model
2. Transductive LSTM for time-series prediction: An application to weather forecasting
3. Smelting Mechanism in the Reaction Shaft of a Commercial Copper Flash Furnace
4. Efficient Recovery of Copper and Cobalt from the Matte–Slag Mixture of ISA Furnace by Injection of Coke and Pyrite
5. Recovery of iron from copper flash smelting slags
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