| 基于蚁群算法的电路故障诊断研究 |
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| 引用本文： | 魏蛟龙,王晴.基于蚁群算法的电路故障诊断研究[J].微计算机信息,2007,23(28):135-136,128. |
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| 作者姓名： | 魏蛟龙 王晴 |
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| 作者单位： | 华中科技大学电子与信息工程系,湖北武汉,430074 |
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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、易于陷入局部极小点的缺点。蚁群算法是一种新型的模拟进化算法。具有正反馈、分布式计算、全局收敛、启发式学习等特点。本文将蚁群算法和神经网络结合，应用于电路故障诊断中，有效提高了诊断效率。
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| 关 键 词： | 蚁群算法 神经网络 故障诊断 |
| 文章编号： | 1008-0570（2007）10-1-0135-02 |
| 修稿时间： | 2007-07-232007-08-25 |
Application of Neural Network Based on Ant Colony Algorithm in Circuit Fault Diagnosis |
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| WEI JIAOLONG,WANG QING.Application of Neural Network Based on Ant Colony Algorithm in Circuit Fault Diagnosis[J].Control & Automation,2007,23(28):135-136,128. |
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| Authors: | WEI JIAOLONG WANG QING |
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| Abstract: | Back Propagation 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 positive feedback, distributed computation, and use of a constructive greedy heurism. This paper combines ant colony algorithm with neural network and adopt it in the diagnosis of circuit to improve the efficiency of diagnosis. |
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| Keywords: | Ant colony algorithm Neural network Fault diagnosis |
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