Immune Algorithm with Adaptive Sampling in Noisy Environments and Its Application to Stochastic Optimization Problems.
Zhuhong ZhangXin TuPublished in: IEEE Comput. Intell. Mag. (2007)
Keyphrases
- noisy environments
- adaptive sampling
- immune algorithm
- stochastic optimization problems
- random variables
- network model
- monte carlo
- artificial immune system
- genetic algorithm
- noise reduction
- random sampling
- speech recognition
- rbf network
- control policies
- rbf neural network
- speech signal
- optimization problems
- support vector regression
- automatic speech recognition
- control charts
- graphical models
- radial basis function
- machine learning
- sampling methods
- initial population
- language model
- neural network
- image segmentation
- data mining