Diagnosis of Neural Network via Backward Deduction.
Peifeng YinLei HuangSunhwan LeeMu QiaoShubhi AsthanaTaiga NakamuraPublished in: IEEE BigData (2019)
Keyphrases
- neural network
- fault diagnosis
- artificial neural networks
- back propagation
- model based diagnosis
- neural network model
- network architecture
- theorem proving
- bp neural network
- genetic algorithm
- multiple faults
- forward and backward
- inference rules
- automatic diagnosis
- fuzzy logic
- neural network is trained
- fault detection
- feed forward neural networks
- feedforward neural networks
- diagnostic tests
- attention deficit hyperactivity disorder
- neural nets
- intuitionistic logic
- support vector
- diagnostic process
- medical diagnostic
- clinically relevant
- automated theorem proving
- bi directional
- activation function
- multi layer perceptron
- radial basis function
- feed forward
- recurrent neural networks
- prediction model