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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。
This paper introduces the use of GAL algorithm to process the sound signal generated by equipment, and improves and perfects the GAL neural network based on competitive learning. The test results show that the recognition accuracy and self-learning of intelligent ear diagnosis system based on GAL algorithm is better than the traditional algorithm.