TITLE:
Extension Modeling Strategy of Intelligent Detection in D.huoshanense Photosynthesis Process
AUTHORS:
Rongde Lu, Can Qin, Yunsheng Bao
KEYWORDS:
Extension-Based Knowledge Representation (EKR), Intelligent Detection, Extension Modeling Strategy (EMS), Photosynthesis Process of D.huoshanense (PPDH)
JOURNAL NAME:
Intelligent Control and Automation,
Vol.2 No.2,
June
3,
2011
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.