Explaining What a Neural Network has Learned: Toward Transparent Classification.
Kasun AmarasingheMilos ManicPublished in: FUZZ-IEEE (2019)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- classification systems
- classification accuracy
- pattern classification
- multi layer perceptron
- support vector
- feature extraction
- decision trees
- machine learning algorithms
- training process
- training patterns
- artificial neural networks
- machine learning
- classification scheme
- automatic classification
- probabilistic neural network
- classification rate
- classification models
- kohonen self organizing map
- classification algorithm
- preprocessing
- unsupervised learning
- support vector machine svm
- fault diagnosis
- self organizing maps
- cross validation
- associative memory
- incremental learning
- image classification
- fuzzy logic
- class specific
- learning phase
- support vector machine
- control system
- feed forward
- training data