摘要
提出了基于神经元自适应的测量方法 ,将自适应噪声对消技术用于 tanδ测量。分析了 ANN的学习算法及误差函数 ,讨论了泄漏误差对测量结果的影响 ,并通过仿真结果证实了所提方法的有效性。
Using adaptive noise canceling technology, a measuring approach of tan δ based on artificial neuron adaptation is presented in this paper. Learning rules and error function are analyzed. The effects caused by leakage error on measurement are discussed. Simulation results show that this approach is effective.
出处
《高电压技术》
EI
CAS
CSCD
北大核心
2001年第3期7-8,11,共3页
High Voltage Engineering