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Snap-drift: Real-time, Performance-guided Learning
S. W. Lee
, D. Palmer-Brown
, J. A. Tepper
, C. M. Roadknight
Hertfordshire Business School
Biocomputation Research Group
Department of Computer Science
School of Physics, Engineering & Computer Science
Research output
:
Contribution to conference
›
Paper
›
peer-review
14
Citations (Scopus)
Overview
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Keyphrases
Guided Learning
100%
Snapping
100%
Real-time Performance
100%
User Request
25%
Pattern Vector
25%
Neural Network System
25%
Input Vector
25%
Network Performance
25%
Performance Indicators
25%
Performance Feedback
25%
Input Pattern
25%
Adaptive Resonance Theory
25%
New Pattern
25%
Learning Vector Quantization
25%
Fast Convergent
25%
External Performance
25%
Real-time Learning
25%
Modular Neural Network
25%
Learning Styles
25%
Adaptive Resonance
25%
Minimalist
25%
Non-stationary Environments
25%
Supervised Systems
25%
Computer Science
Performance Indicator
100%
Vector Quantization
100%
Neural Network
100%
Real Time Performance
100%
Network Performance
100%
Learning Style
100%
Pattern Vector
100%