Forecasting of Ship Power Load based on EMD-GA-LSTM Algorithm
Author:
Affiliation:
1. Wuhan Second Ship Design and Research Institute,Key Lab of Marine Electromagnetic Detection and Control,Wuhan,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10087340/10087898/10088085.pdf?arnumber=10088085
Reference16 articles.
1. Prediction of Depression from EEG Signal Using Long Short Term Memory(LSTM)
2. A Deep Learning Approach for Wireless Spectrum Sensing in Communications-based Train Control: A Over-fitting Problem and Solution
3. EMD interval thresholding denoising based on correlation coefficient to select relevant modes
4. Assessment of the Relative Importance of different hyper-parameters of LSTM for an IDS
5. SoftTarget Regularization: An Effective Technique to Reduce Over-Fitting in Neural Networks
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