Enhancement of Neural Network Based Multi Agent System for Classification and Regression in Energy System.
Chong Tak YawKeem Siah YapShen Yuong WongHwa Jen YapJohnny K. S. PawPublished in: IEEE Access (2020)
Keyphrases
- multi agent systems
- pattern recognition
- model selection
- cooperative
- support vector
- classification method
- decision trees
- classification accuracy
- feature selection
- image processing
- classification scheme
- image enhancement
- supervised learning
- classification rules
- support vector machine
- feature vectors
- automatic classification
- machine learning
- energy consumption
- intelligent agents
- svm classifier
- machine learning methods
- software agents
- linear regression
- classification systems
- regression problems
- regression model
- preprocessing
- text classification
- multi class
- numeric values
- class labels
- multi variate
- target variable
- feature extraction
- multi agent
- feature space
- classification models
- cost sensitive
- training set
- energy minimization
- pattern classification
- least squares
- genetic programming
- benchmark datasets
- classification algorithm
- neural network
- microarray
- cross validation