Hierarchical Granular Computing-Based Model and Its Reinforcement Structural Learning for Construction of Long-Term Prediction Intervals

IEEE Transactions on Cybernetics(2022)

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摘要
As one of the most essential sources of energy, byproduct gas plays a pivotal role in the steel industry, for which the flow tendency is generally regarded as the guidance for planning and scheduling in real production. In order to obtain the numeric estimation along with its reliability, the construction of prediction intervals (PIs) is highly demanded by any practical applications as well as bei...
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关键词
Computational modeling,Predictive models,Adaptation models,Steel industry,Numerical models,Data models,Artificial neural networks
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