Convergence of Online Gradient Algorithm with Stochastic Inputs for Pi-Sigma Neural Networks.
Xidai KangYan XiongChao ZhangWei WuPublished in: FOCI (2007)
Keyphrases
- neural network
- learning algorithm
- stochastic approximation
- dynamic programming
- convergence rate
- worst case
- weight update
- preprocessing
- detection algorithm
- significant improvement
- probabilistic model
- input data
- optimal solution
- np hard
- k means
- optimization algorithm
- monte carlo
- matching algorithm
- computational complexity
- faster convergence
- rapid convergence
- computational cost
- search space
- recognition algorithm
- gradient method
- pattern recognition
- convergence property
- convergence theorem