Developing a Time-Efficient Model for Solid Oxide Fuel Cells Using Self-Supervised Convolutional Autoencoder and Stateful LSTM Network

Mohamadali Tofigh, Z. Salehi, Daniel J. Smith, Ali Kharazmi,A. R. Hanifi,Charles Robert Koch,Mahdi Shahbakhti

ACC（2024）

引用 1|浏览3

关键词

Fuel Cell,Long Short-term Memory Network,Autoencoder Network,Convolutional Autoencoder,Solid Oxide Fuel Cells,Convolutional Autoencoder Network,Stateful Long Short-term Memory,Sequencing Data,Neural Network,System Dynamics,Power Generation,Recurrent Network,Recurrent Neural Network,Model Identification,Learnable Parameters,Type Of Neural Network,Long Short-term Memory Model,Prediction Model,Time Series,Original Input,Input Time Series,Self-supervised Learning,Original Time Series,Time Step,Entire Series,Time Series Data,Inference Phase,Input Series,Dynamic Performance

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要