Extension Modeling Strategy of Intelligent Detection in D.huoshanense Photosynthesis Process

• 作者: Can Qin Rongde Lu Yunsheng Bao
• 来源期刊: 智能控制与自动化(英文)
• 学科: 工学
• 关键词: Extension-Based KNOWLEDGE REPRESENTATION (EKR) Intelligent Detection EXTENSION Modeling STRATEGY (EMS) PHOTOSYNTHESIS Process of D.huoshanense (PPDH)
• 年，卷（期）: 2011,（2）
• 页码范围: 126-132
• 页数: 7页
• 分类号: TP39

摘要

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.