Reliability Evaluation of Pruned Neural Networks against Errors on Parameters.
Zhen GaoXiaohui WeiHan ZhangWenshuo LiGuangjun GeYu WangPedro ReviriegoPublished in: DFT (2020)
Keyphrases
- neural network
- maximum likelihood
- weibull distribution
- machine learning
- error detection
- input parameters
- fault diagnosis
- pattern recognition
- artificial neural networks
- parameter estimation
- sensitivity analysis
- evaluation criteria
- artificial intelligence
- highly non linear
- pruning algorithm
- nonlinear functions
- operating conditions
- evaluation model
- evaluation metrics
- evaluation method
- parameter values
- neural network model
- fuzzy logic
- back propagation