Human Activity Recognition Using Radial Basis Function Neural Network Trained via a Minimization of Localized Generalization Error.
Shuai ZhangWing W. Y. NgJianjun ZhangChris D. NugentPublished in: UCAmI (2017)
Keyphrases
- generalization error
- human activities
- radial basis function neural network
- multilayer perceptron
- training set
- rbfnn
- activity recognition
- cross validation
- pattern classification
- active learning
- learning algorithm
- neural network
- radial basis function
- upper bound
- model selection
- training data
- hidden layer
- back propagation
- sensor data
- human computer interaction
- sensitivity analysis
- supervised learning
- sample size
- action recognition
- rbf neural network
- support vector machine
- artificial neural networks
- function approximation
- decision trees
- objective function
- rbf network
- data sets
- semi supervised
- classification accuracy
- linear combination
- training process
- unlabeled data