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| 电厂优化配煤专家系统诊断知识库的开发 | |
| 引用本文： | 阮伟,周俊虎,曹欣玉,岑可法,应达云. 电厂优化配煤专家系统诊断知识库的开发[J]. 电站系统工程, 2000, 16(4): 195-198 |
| 作者姓名： | 阮伟 周俊虎 曹欣玉 岑可法 应达云 |
| 作者单位： | 1. 浙大海纳中控公司,310012 2. 浙江大学 3. 巨化集团热电厂 |
| 摘 要： | 对电厂配煤生产流程中影响混煤质量的主要因素进行了分析，并在已成功开发的动态配煤知识库基础上，以人工神经网络理论建立了混煤质量的诊断知识库，两者相辅相成，构成了统一的电厂优化配煤专家系统知识库． |
| 关 键 词： | 电厂配煤 专家系统 知识库 神经网络 |
| 文章编号： | 1005-006X(2000)04-0195-04 |
| 修稿时间： | 2000-01-06 |
Development of the Knowledge Base for False-Detecting in the Power Plant Expert System for Coal Blending |
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| RUAN Wei,ZHOU Jun-hu,CAO Xin-yu,et al.. Development of the Knowledge Base for False-Detecting in the Power Plant Expert System for Coal Blending[J]. Power System Engineering, 2000, 16(4): 195-198 | |
| Authors: | RUAN Wei ZHOU Jun-hu CAO Xin-yu et al. |
| Abstract: | The fine quality of power plant expert system for coal blending bases on the perfect knowledge representation of expert system. so the study on knowledge base is the key to power plant expert system for coal blending. This paper has analyzed the major factors, which exert much great impact on the blended coal qualities. and built the knowledge base for false detecting with neural networks on the base of dynamic coal blending knowledge base developed before. Both supplements each other, and constitutes the integrated knowledge base in power plant expert system for coal blending in an effort to describe the expert-level knowledge on coal blending at power plant fully |
| Keywords: | coal blending expert system knowledge base neural networks |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |