Comparison between deep learning and fully connected neural network in performance prediction of power cycles: Taking supercritical CO2 Brayton cycle as an example.
Chenghao DiaoTianye LiuZhen YangYuanyuan DuanPublished in: Int. J. Intell. Syst. (2021)
Keyphrases
- deep learning
- fully connected
- neural network
- prediction model
- activation function
- unsupervised learning
- artificial neural networks
- mental models
- scale free
- neural network model
- multi layer perceptron
- machine learning
- back propagation
- computer vision
- hidden layer
- fuzzy neural network
- neural nets
- pairwise
- feed forward
- weakly supervised
- conditional random fields