MBSSA-Bi-AESN: Classification prediction of bi-directional adaptive echo state network based on modified binary salp swarm algorithm and feature selection.
Xunjin WuJianming ZhanTianrui LiWeiping DingWitold PedryczPublished in: Appl. Intell. (2024)
Keyphrases
- bi directional
- feature selection
- classification accuracy
- text classification
- feature selection algorithms
- prediction accuracy
- feature space
- support vector machine
- classification models
- machine learning
- feature set
- high dimensionality
- pattern recognition
- decision trees
- models built
- text categorization
- method for feature selection
- small sample
- support vector
- discriminative features
- classification method
- business intelligence
- image classification
- ensemble classifier
- feature ranking
- feature extraction
- prediction model
- irrelevant features
- classification rate
- binary classification problems
- naive bayes
- model selection
- mutual information
- automatic relevance determination
- feature reduction
- neural networks and support vector machines
- binary classifiers
- multi layer perceptron
- ls svm
- feature subset
- classification algorithm
- svm classifier
- support vector machine svm
- dimensionality reduction
- multi class