| 状态检修专家系统中神经网络的应用研究 |
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| 引用本文： | 丁书耕.状态检修专家系统中神经网络的应用研究[J].计算机工程,2003,29(15):141-143. |
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| 作者姓名： | 丁书耕 |
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| 作者单位： | 山东大学计算机科学与技术学院,济南,250100;山东电力研究院,济南,250002 |
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| 基金项目： | 国家电力公司2001年重大科研攻关项目“输变电主要设备状态检修分析系统软件开发”(KJ00-01-11) |
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| 摘 要： | 介绍了设备状态检修专家系统的结构，提出了一种基于模块化的神经网络的系统结构和学习算法。它通过用分解判定子模块对输入向量的适当分区域、由合成子网将各区域的结果合成，实现了复杂任务的自动分解判定和模块化训练策略。研究表明该结构和算法是可行的、有效的，它具有并行性高、对新增样本易于学习等特点。
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| 关 键 词： | 状态检修 神经网络 分解判定 |
| 文章编号： | 1000-3428(2003)15-0141-03 |
| 修稿时间： | 2003年6月16日 |
Research of Neutral Network in Condition-based Maintenance Expert System |
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| DING Shugeng.Research of Neutral Network in Condition-based Maintenance Expert System[J].Computer Engineering,2003,29(15):141-143. |
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| Authors: | DING Shugeng |
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| Affiliation: | DING Shugeng1,2 |
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| Abstract: | This article introduces the structure of condition-based maintenance expert system, and a structure and algorithm about modular neural network is proposed. By means of decomposition decision sub-modular, it can automatically divide a complex task into a series of sub tasks which are processed by their corresponding subtask nets. The combination strategy can arrive at a solution to a given task. The research shows that the structure and algorithm is practicable and effective. It has higher parallelism and is easy for training new samples. |
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| Keywords: | Condition-based maintenance Neutral network Decomposition decision |
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