ECT-LSTM-RNN: An Electrical Capacitance Tomography Model-Based Long Short-Term Memory Recurrent Neural Networks for Conductive Materials.
Wael A. DeabesAlaa F. ShetaMalik BraikPublished in: IEEE Access (2021)
Keyphrases
- recurrent neural networks
- long short term memory
- transmission line
- neural network
- feed forward
- high speed
- complex valued
- reservoir computing
- recurrent networks
- cascade correlation
- image reconstruction
- echo state networks
- feedforward neural networks
- power system
- computational intelligence
- neural model
- real time
- artificial neural networks
- nonlinear dynamic systems
- decision making
- tomographic reconstruction
- hidden layer
- magnetic field
- machine learning
- learning materials
- semi supervised
- genetic algorithm