文件名称:Rule-Expert-Knowledge
- 所属分类：
- 人工智能/神经网络/遗传算法
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- [PDF]
- 上传时间：
- 2012-11-26
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- 652kb
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- 0次
- 提 供 者：
- 韩**
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本文提出了一种新的推理机制来确定规则的专业知识为基础的Petri网适当的开关操作（RKPN）方法。一个26馈线的实际分配制度被指定为揭示了发展与计算机模拟方法的有效性。拟议的推理机制可以成功地解决馈线过载/故障应急根据负载的变化，从温度升高导致的。
-This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises.
-This paper presents a novel inference mechanism to determine appropriate switching operations by the rule-expert knowledge-based Petri net (RKPN) approach. A practical distribution system with 26 feeders is specified to reveal the effectiveness of the developed methodology with computer simulations. The proposed inference mechanism can successfully solve feeder overload/fault contingency based on the load variations resulting from temperature rises.
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Rule-Expert Knowledge-Based Petri Net Approach.pdf