A methodology to explain neural network classification.
Raphaël FéraudFabrice ClérotPublished in: Neural Networks (2002)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- classification accuracy
- decision trees
- pattern classification
- artificial neural networks
- classification systems
- support vector machine svm
- feature space
- classification algorithm
- automatic classification
- decision rules
- machine learning algorithms
- text classification
- classification method
- incremental learning
- classification scheme
- training process
- class labels
- multi layer perceptron
- classification process
- kohonen self organizing map
- recurrent neural networks
- classification rules
- fault diagnosis
- training samples
- image classification
- rough sets
- knn
- support vector
- genetic algorithm
- machine learning