A comparison of some data-based methods for the off-line generation of fuzzy logic controllers for an intelligent building environment
A comparison of some data-based methods for the off-line generation of fuzzy logic controllers for an intelligent building environment
- Author(s):
- DOI: 10.1049/ic:20050224
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- Author(s): Source: IEE Seminar on Intelligent Building Environments, 2005 page ()
- Conference: IEE Seminar on Intelligent Building Environments
- DOI: 10.1049/ic:20050224
- ISBN: 0 86341 518 0
- Location: Colchester, UK
- Conference date: 28 June 2005
- Format: PDF
Ambient intelligence is nowadays an active research field. As a key matter of this concept, learning architectures for the control of the devices in an intelligent building must be developed, where the goal is to control the environmental via a set of devices using an intelligent agent which should work in a non-intrusive manner to satisfy the preferences of the user. Mainly, we have focused our attention over fuzzy logic controllers (FLC) for the internal structure of the agent. The main motivation for the work described in this paper is to check different alternatives selecting a suitable method for the off-line data driven automatic generation of FLCs for the agent. We have performed the experiments with real data gathered from the Essex Intelligent Dormitory. (7 pages)
Inspec keywords: learning (artificial intelligence); building management systems; software agents; ubiquitous computing; fuzzy control
Subjects: Fuzzy control; Control engineering computing; Automated buildings; Knowledge engineering techniques; Distributed systems software; Learning in AI (theory)
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