摘要
介绍了利用GAL算法对装备产生的声音信号进行处理,改进完善了基于竞争学习的GAL神经网络.测试结果表明,基于GAL算法的智能耳诊断系统的识别精度和自学习方面优于传统算法.
In this paper, introduces a new method of GAL algorithm that can process the sound signal of armored vehicle and improves GAL network based on self-learning. The results of experiment show that intelligence ear diagnosing system based on GAL algorithm is better than traditional algorithm in the aspects of the recognition rate and self-learning ability.
出处
《装甲兵工程学院学报》
2002年第2期76-79,95,共5页
Journal of Academy of Armored Force Engineering