Prediction of Negative Conversion Days of Childhood Nephrotic Syndrome Based on PCA and BP-AdaBoost Neural Network.
Ye LuoBeihong WangPublished in: IEEE Access (2019)
Keyphrases
- neural network
- back propagation
- prediction model
- principal component analysis
- bp algorithm
- artificial neural networks
- prediction accuracy
- learning algorithm
- neural network ensemble
- radial basis function neural network
- hidden layer
- object detection
- dimensionality reduction
- principal components analysis
- multilayer perceptron
- face detection
- training algorithm
- bp neural network
- prediction error
- multi layer perceptron
- multi class
- high dimensional
- pattern recognition
- support vector
- chaotic time series
- elman network
- belief propagation
- neural network model
- fault diagnosis
- training data
- face recognition
- decision trees
- recurrent neural networks
- principal components
- fuzzy neural network
- covariance matrix
- negative matrix factorization
- genetic algorithm
- activation function
- model selection
- neural network is trained