ELM-HTM guided bio-inspired unsupervised learning for anomalous trajectory classification.
Sk. Arif AhmedDebi Prosad DograSamarjit KarPartha Pratim RoyDilip K. PrasadPublished in: Cogn. Syst. Res. (2020)
Keyphrases
- bio inspired
- unsupervised learning
- supervised learning
- swarm intelligence
- extreme learning machines
- anomaly detection
- pattern recognition
- hybrid intelligent systems
- text classification
- decision trees
- image analysis and pattern recognition
- support vector
- feature selection
- machine learning
- training data
- support vector machine svm
- low level image processing
- training set
- image analysis
- decision making
- neural models
- modular neural networks