A cost-sensitive convolution neural network learning for control chart pattern recognition.
Donovan FuquaTalayeh RazzaghiPublished in: Expert Syst. Appl. (2020)
Keyphrases
- test set
- cost sensitive
- pattern recognition
- neural network
- error rate
- cost sensitive classification
- learning algorithm
- cost sensitive learning
- reinforcement learning
- learning process
- image processing
- misclassification costs
- artificial neural networks
- learning tasks
- data sets
- incremental learning
- multi class
- pairwise
- knn
- binary classification
- adaptive control
- feature extraction
- decision trees
- control charts
- real time