A comparison of decision tree and backpropagation neural network classifiers for land use classification.
Mahesh PalPaul M. MatherPublished in: IGARSS (2002)
Keyphrases
- back propagation
- decision trees
- neural network
- multilayer perceptron neural network
- feed forward
- classification models
- artificial neural networks
- feed forward neural networks
- machine learning
- feedforward neural networks
- feature vectors
- classification accuracy
- machine learning algorithms
- classification rules
- bp algorithm
- decision tree algorithm
- training set
- hidden layer
- backpropagation neural network
- feature space
- incremental learning
- classification algorithm
- bp neural network
- fuzzy logic
- training algorithm
- backpropagation algorithm
- activation function
- levenberg marquardt
- multilayer perceptron
- cascade correlation
- mlp neural networks
- multi layer neural network
- neural nets
- feature selection
- remote sensing
- support vector machine svm
- support vector
- recurrent neural networks
- pattern classification
- real time
- machine learning methods
- learning algorithm
- trained neural network
- benchmark datasets
- training data
- feature extraction