Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration

标题
Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration
作者
关键词
Ant colony optimization (ACO), Long short term memory recurrent neural network (LSTM), Recurrent neural network (RNN), Time series prediction, Aviation, Aerospace engineering, Turbomachinery, Turbine engine vibration, Flight parameters prediction
出版物
APPLIED SOFT COMPUTING
Volume 73, Issue -, Pages 969-991
出版商
Elsevier BV
发表日期
2018-10-10
DOI
10.1016/j.asoc.2018.09.013

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