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Optimizing long short-term memory recurrent neural networks using ant colony optimization to predict turbine engine vibration
Content Provider | Scilit |
---|---|
Author | ElSaid, Abdelrahman Jamiy, Fatima El Higgins, James Wild, Brandon Desell, Travis |
Copyright Year | 2018 |
Description | Journal: Applied Soft Computing |
Related Links | http://arxiv.org/pdf/1710.03753 |
Ending Page | 991 |
Page Count | 23 |
Starting Page | 969 |
ISSN | 15684946 |
DOI | 10.1016/j.asoc.2018.09.013 |
Journal | Applied Soft Computing |
Volume Number | 73 |
Language | English |
Publisher | Elsevier BV |
Publisher Date | 2018-10-09 |
Access Restriction | Open |
Subject Keyword | Journal: Applied Soft Computing Ant Colony Optimization (aco) Long Short Term Memory Recurrent Neural Network (lstm) Recurrent Neural Network (rnn) Time Series Prediction Aerospace Engineering Turbine Engine Vibration Flight Parameters Prediction |
Content Type | Text |
Resource Type | Article |
Subject | Software |