| 基于蚁群神经网络的设备故障诊断 |
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| 引用本文： | 田文杰,刘继承,艾兰.基于蚁群神经网络的设备故障诊断[J].北京联合大学学报(自然科学版),2008,22(4). |
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| 作者姓名： | 田文杰 刘继承 艾兰 |
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| 作者单位： | 北京联合大学,自动化学院,北京,100101;北京联合大学,自动化学院,北京,100101;北京联合大学,自动化学院,北京,100101 |
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| 摘 要： | BP算法在神经网络中应用较为广泛,但有收敛速度慢、易于陷入局部极小的缺点,而蚁群算法是一种新型的模拟进化算法,有正反馈、分布式计算、全局收敛、启发式学习等特点.将蚁群算法和神经网络结合起来,应用于设备故障专家系统的知识荻取和诊断推理中,可以提高运算效率,具有很好的应用前景.利用该方法,对测得的样本数据进行实验分析,证明此系统具有推理效率及准确性较高的特点.
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| 关 键 词： | 神经网络 蚁群算法 故障诊断 知识获取 BP算法 |
Failure Diagnosis Based on Ant Colony Neural Network Algorithm in Electronic Device |
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| TIAN Wen-jie,LIU Ji-cheng,AI Lan.Failure Diagnosis Based on Ant Colony Neural Network Algorithm in Electronic Device[J].Journal of Beijing Union University,2008,22(4). |
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| Authors: | TIAN Wen-jie LIU Ji-cheng AI Lan |
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| Institution: | TIAN Wen-jie,LIU Ji-cheng,AI Lan(Automation College of Beijing Union University,Beijing 100101,China) |
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| Abstract: | BP Algorithm is widely used in neural networks.But it has some shortcomings,such as slow convergent speed and easy convergence to the local minimum points.Ant colony system is a novel simulated evolutionary algorithm.It has characteristics of positive feedback,distributed computation,and so on.The combination of ant colony algorithm with neural network is adopted in knowledge acquisition and reasoning of Device Failure diagnosis expert system and it can improve the efficiency of operation.It has wide applic... |
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| Keywords: | neural network ant colony algorithm failure diagnosis knowledge acquisition BP algorithm |
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