Auto associative Extreme Learning Machine based non-linear principal component regression for big data applications.
Vadali TejasviramHarshvardhan SolankiVadlamani RaviSk. KamaruddinPublished in: ICDIM (2015)
Keyphrases
- big data
- extreme learning machine
- auto associative
- neural network
- principal component regression
- feed forward neural networks
- feedforward neural networks
- partial least squares
- principal components
- artificial neural networks
- cloud computing
- activation function
- data analysis
- data management
- single layer
- support vector regression
- business intelligence
- back propagation
- associative memory
- social media
- gaussian processes
- hidden nodes
- data processing
- knowledge discovery
- pattern recognition
- neural network model
- genetic algorithm
- fuzzy logic
- data sets
- multilayer perceptron
- data warehousing
- variable selection
- generalization ability
- classification accuracy
- discriminant analysis
- belief propagation
- social networks
- data warehouse
- knn