A fuzzy min-max neural network with classification performance irrelevant to the input sequences of samples.
Jing HuYiyuan LuoPublished in: ICSAI (2016)
Keyphrases
- neural network
- learning vector quantization
- training samples
- pattern recognition
- training set
- fuzzy min max
- classification accuracy
- desired output
- feature extraction
- feature space
- decision trees
- pattern classification
- optimum path forest
- image classification
- text classification
- data sets
- kohonen self organizing map
- small samples
- multi layer perceptron
- multilayer perceptron
- neural network model
- self organizing maps
- support vector machine svm
- hidden markov models
- supervised learning
- fuzzy logic
- incremental learning
- neural nets
- support vector machine
- probabilistic neural network
- feature vectors
- artificial neural networks
- high dimensional
- training data
- support vector