Extension Modeling Strategy of Intelligent Detection in D.huoshanense Photosynthesis Process
Rongde Lu, Can Qin, Yunsheng Bao
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DOI: 10.4236/ica.2011.22015   PDF   HTML     4,137 Downloads   6,082 Views   Citations

Abstract

Aiming at the limitations of the existing knowledge representations in intelligent detection, a new method of Extension-based Knowledge Representation (EKR) was proposed. The definitions, grammar rules, and storage structure of EKR were presented. An Extension Solving Model (ESM) based on EKR was discussed in detail, including creation of the extension constraint graph, extended inference, calculation of relevant functions and generation of extension set. A knowledge base system based on EKR and ESM was developed, which was applied in extension repository system intelligent design of detection in photosynthesis process of D.huoshanense. More reasonable results were obtained than traditional rule-based system. EKR was feasible in intelligent design to solve the problem of intelligent detection knowledge representations.

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R. Lu, C. Qin and Y. Bao, "Extension Modeling Strategy of Intelligent Detection in D.huoshanense Photosynthesis Process," Intelligent Control and Automation, Vol. 2 No. 2, 2011, pp. 126-132. doi: 10.4236/ica.2011.22015.

Conflicts of Interest

The authors declare no conflicts of interest.

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