A Forward-Propagation Rule for Acquiring Neural Inverse Models Using a RLS Algorithm.
Yoshihiro OhamaNaohiro FukumuraYoji UnoPublished in: ICONIP (2004)
Keyphrases
- probabilistic model
- optimization algorithm
- cost function
- learning algorithm
- detection algorithm
- objective function
- experimental evaluation
- worst case
- parameter estimation
- computational cost
- preprocessing
- optimal solution
- search space
- data mining
- bayesian framework
- times faster
- particle swarm optimization
- energy function
- dynamic programming
- em algorithm
- recognition algorithm
- image segmentation
- computational complexity
- model selection
- expectation maximization
- linear programming
- high accuracy
- k means