Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic.
Mohammad AbdolrazzaghiSoheil HashemyAli AbdolaliPublished in: Neural Comput. Appl. (2018)
Keyphrases
- fuzzy logic
- artificial neural networks
- support vector machine
- neural network
- back propagation
- soft computing
- computational intelligence
- genetic algorithm
- radial basis function
- svm classifier
- multimedia
- ann models
- multi class
- input variables
- support vector
- expert systems
- cross media
- training data
- fuzzy sets
- fuzzy rules
- membership functions
- control system
- evolutionary computation
- intelligent control
- neural networks and genetic algorithms
- multi layer perceptron
- digital media
- bi directional
- multi class support vector machines
- k nearest neighbor
- decision making
- rough sets
- feature vectors
- machine learning
- artificial intelligence
- forward and backward
- fuzzy membership functions
- svm classification
- small sample
- feature space
- learning rules
- knn
- rule base
- markov chain
- multimedia data
- genetic algorithm ga
- bp neural network
- feed forward
- feature selection
- neural network model
- kernel methods
- stock market prediction
- fuzzy logic control
- kernel function
- support vector regression
- considerable increase
- learning algorithm
- backpropagation neural network
- media content
- decision boundary
- hyperplane