摘要
:基于前馈式神经网络模型 ,提出了一种新的化工设备维修决策方法。根据设备的各状态因素 ,判断出设备应属维修等级 ,制定相应维修策略。数值模拟表明 ,此法具有高效性。
Based on feedforward neural networks, a new method of the decision making of chemical equipment maintenanace was put forward. According to the factors of the equipment conditions, the class of maintenance that the equipment should belong to was determined, and the corresponding strategy of maintenance was workded out. Numerical simulation shows that the method is effective, precise and intelligent.
出处
《南京化工大学学报》
2000年第5期11-14,共4页
Journal of Nanjing University of Chemical Technology(Natural Science Edition)
基金
化工部基金资助
关键词
前馈式神经网络
设备维修
BP算法
化工设备
feedforward neural networks\ decision making of equipment maintenance\ improvement of BP algorithm
