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| 基于蚁群算法的神经网络在发动机故障诊断中的应用研究 | |
| 引用本文： | 宋红英,纪威,李波. 基于蚁群算法的神经网络在发动机故障诊断中的应用研究[J]. 小型内燃机与摩托车, 2006, 35(1): 6-8 |
| 作者姓名： | 宋红英 纪威 李波 |
| 作者单位： | 1. 邢台职业技术学院汽车系,河北,邢台,054035 2. 中国农业大学工学院 3. 德州学院汽车工程系 |
| 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。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，应用于发动机故障诊断中，可以提高运算效率，具有广阔的应用前景。 |
| 关 键 词： | 蚁群算法 神经网络 故障诊断 |
| 文章编号： | 1671-0630（2006）01-0006-03 |
| 收稿时间： | 2004-12-20 |
| 修稿时间： | 2004-12-20 |
Application of Neural Network Based on Ant Colony Algorithm in Fault Diagnosis of Engine |
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| Song Hongying,Ji Wei,Li Bo. Application of Neural Network Based on Ant Colony Algorithm in Fault Diagnosis of Engine[J]. Small Internal Combustion Engine and Motorcycle, 2006, 35(1): 6-8 | |
| Authors: | Song Hongying Ji Wei Li Bo |
| Affiliation: | 1 - Xingtai Vocational Technology Institute (Xingtai 054035 |
| 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. The combination of ant colony algorithm with neural network is adopted in fault diagnosis of engine and it can improve the efficiency of operation. It has wide application prospects. |
| Keywords: | Ant colony algorithm Neural network Fault diagnosis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |