A smoothing Levenberg-Marquardt algorithm for solving a class of stochastic linear complementarity problem.
Yajun XieChangfeng MaPublished in: Appl. Math. Comput. (2011)
Keyphrases
- levenberg marquardt
- linear complementarity problem
- least squares
- artificial neural networks
- dynamic programming
- k means
- worst case
- training algorithm
- linear programming
- learning algorithm
- support vector machine svm
- back propagation
- bundle adjustment
- sufficient conditions
- rbf neural network
- radial basis function
- probabilistic model
- feature extraction