Comparative Study of Machine-Learning Frameworks for the Elaboration of Feed-Forward Neural Networks by Varying the Complexity of Impedimetric Datasets Synthesized Using Eddy Current Sensors for the Characterization of Bi-Metallic Coins.
Rohan MunjalSohaib ArifFrank WendlerOlfa KanounPublished in: Sensors (2022)
Keyphrases
- comparative study
- feed forward neural networks
- eddy current
- learning frameworks
- multi layer
- back propagation
- neural network
- activation function
- basis functions
- magnetic field
- active learning
- artificial neural networks
- data fusion
- feed forward
- hidden layer
- fuzzy inference system
- genetic algorithm
- training set
- online learning
- training algorithm