Effectively Extracting Rules from Trained Neural Networks Based on the New Measurement Method of the Classification Power of Attributes.
Dexian ZhangYang LiuZiqiang WangPublished in: FSKD (2) (2005)
Keyphrases
- rule extraction
- classification method
- support vector machine svm
- support vector machine
- classification accuracy
- trained neural networks
- decision trees
- pattern recognition
- decision rules
- feature set
- classification rate
- training set
- classification algorithm
- support vector
- machine learning
- feature vectors
- rule induction
- multi layer perceptron
- incremental learning
- pattern classification
- attribute values
- error rate
- genetic programming
- rough sets
- knn