Multi-layer Long Short-term Memory based Condenser Vacuum Degree Prediction Model on Power Plant
暂无分享,去创建一个
[1] Zhang Xiaocheng. A MODEL FOR PREDICTING VACUUM IN THE CONDENSER BASED ON ELMAN NEURAL NETWORK BY USING PARTICLE SWARM OPTIMIZATION ALGORITHM , 2010 .
[2] Long Chen,et al. Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation , 2017 .
[3] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[4] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[5] Navdeep Jaitly,et al. Hybrid speech recognition with Deep Bidirectional LSTM , 2013, 2013 IEEE Workshop on Automatic Speech Recognition and Understanding.
[6] Claudio Moraga,et al. The Influence of the Sigmoid Function Parameters on the Speed of Backpropagation Learning , 1995, IWANN.
[7] Daniel L. Marino,et al. Building energy load forecasting using Deep Neural Networks , 2016, IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society.