A boiler oxygen content and furnace temperature prediction model based on honey badger algorithm optimized neural network
Zhaoyu Ji,
Wenhua Tao,
Lingxiang Zhang
Abstract:Aiming at the problem that it is difficult to accurately predict the oxygen content and furnace temperature during the combustion process inside the circulating fluidized bed boiler, this paper proposes a prediction model with a mixture of the convolutional neural network(CNN), bi-directional long-short term memory network(biLSTM), and honey badger algorithm(HBA). First, process variables related to furnace temperature and oxygen content were selected as input variables using actual test data from circulating … Show more
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