Traffic matrix estimation: A neural network approach with extended input and expectation maximization iteration.
Haifeng ZhouLiansheng TanQian ZengChunming WuPublished in: J. Netw. Comput. Appl. (2016)
Keyphrases
- neural network
- expectation maximization
- em algorithm
- maximum likelihood estimation
- desired output
- parameter estimation
- log likelihood function
- maximum likelihood
- generative model
- mixture model
- genetic algorithm
- hopfield neural network
- density estimation
- neural network model
- network traffic
- road network
- artificial neural networks
- feed forward neural networks
- gaussian mixture
- feed forward
- maximum a posteriori
- image reconstruction
- training algorithm
- image segmentation
- self organizing maps
- feedforward neural networks
- back propagation
- objective function
- newton raphson
- real time