Paper Info
Title
Adaptive Neuro-Fuzzy Systems for Context Aware Offices
Abstract
Our proposal is aimed at achieving a reliable control architecture for intelligent environments. This approach is implemented in a professor's simulated office. To that end, adaptive Neuro-Fuzzy training of Sugeno-type fuzzy inference systems are used. Experimental results and conclusions are shown, stressing the relevance of this approach inspired by the ambient intelligence metaphor in the adaptation of the environment to the professor's physical and emotional conditions.
Year
DOI
Venue
2009
10.3233/978-1-60750-056-8-153
WORKSHOPS PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INTELLIGENT ENVIRONMENTS
Keywords
Field
DocType
Ambient Intelligence,Computational Intelligence,Neuro-Fuzzy Systems,Control Architecture
Neuro-fuzzy,Computer science,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
4
1875-4163
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Christian G. Quintero184.81
Jorhabib Eljaik G.200.34