Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2.
Tanvir IslamPrashant K. SrivastavaGeorge P. PetropoulosPublished in: IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. (2015)
Keyphrases
- back propagation
- variational bayes
- backpropagation neural networks
- principal component analysis
- neural network
- bayesian inference
- bayesian learning
- multilayer neural network
- artificial neural networks
- feed forward
- posterior distribution
- neural nets
- backpropagation neural network
- multilayer perceptron
- feedforward neural networks
- hidden layer
- latent variables
- hyperparameters
- bp neural network
- learning algorithm
- free energy
- dimensionality reduction
- network structure
- low dimensional
- support vector
- model selection
- fuzzy logic
- bayesian framework
- prior information
- prior knowledge
- log likelihood
- exponential family
- parameter estimation
- decision making