Sensor based Environment Adaptive Learning System for Person Authorization
Youngho Lee, Kang‐Dae Lee, Kyungyong Chung, Mi Young Nam, Un-Gu Kang · 2008
This paper presents a robust distributed architecture for adaptive and intelligent systems, called EAS (Environment Adaptive Learning Scheme), with self-learning capability to use under dynamic and uneven environments. Our proposed system adopts the concepts of situation-awareness with the evolutionary computations where the working environments are modeled and identified as environmental situations. We have used ART2 for Environment modeling while unsupervised learning algorithm for environment identification.