论文信息 - Learning and adaptive fuzzy control system for smart home

Learning and adaptive fuzzy control system for smart home

Automated smart homes have widely established their position as a research field during the last decade. More and more context sensitive concepts are being studied and at the same time proactivity has broken through in ambient intelligence research. Technology has advanced towards an adaptive and autonomous home, which can take care of the inhabitants’ well-being in numerous ways.

[1] Ramakrishnan Srikant,et al. Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[2] James J. Buckley,et al. On the equivalence of neural networks and fuzzy expert systems , 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

[3] Susanna Pirttikangas,et al. Routine Learning: from Reactive to Proactive Environments , 2004 .

[4] Karen Zita Haigh,et al. Learning Models of Human Behaviour with Sequential Patterns , 2002 .

[5] Tapio Seppänen,et al. Adapting applications in handheld devices using fuzzy context information , 2003, Interact. Comput..

[6] Li-Xin Wang,et al. A Course In Fuzzy Systems and Control , 1996 .

[7] David L. Tennenhouse,et al. Proactive computing , 2000, Commun. ACM.

[8] Keith Cheverst,et al. Supporting Proactive ‘ Intelligent ’ Behaviour : the Problem of Uncertainty , 2003 .