Abstract
A smart material using piezoelectric ceramics to have the function of both the sensor and actuator is developed for such a vibration suppression system. This ontology is a guide, which provides a vocabulary for the visual description of domain classes. But traditional smart material system construction is time-consuming and costly procedure. This paper present a novel smart material system construction method based on ontology Bayesian network and grid model. The experimental results indicate that the Bayesian network building smart material algorithm achieves significant performance improvement.
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© 2011 Springer-Verlag Berlin Heidelberg
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Li, J., Sun, X. (2011). Building Smart Material Knowledge System Based on Ontology Bayesian Network and Grid Model. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 104. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23777-5_33
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DOI: https://doi.org/10.1007/978-3-642-23777-5_33
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23776-8
Online ISBN: 978-3-642-23777-5
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