摘要
针对故障分类中的非线性映射问题,提出了一种基于模糊逻辑作为激活函数的人工神经网络。该网络容易由硬件实现,同时增加基于IF-THEN规则的神经网络的解释性,提高了模糊神经网络作为分类器进行实时识别和分类的可行性。将所提出模糊神经网络分类器用于高压输电线路故障分类,仿真实验结果表明,该分类器对故障类型有较强的识别能力,适合于在线故障识别系统。
Aim at the nonlinear mapping problem in fault classification,a fuzzy-based activation function for artificial neural net- works is proposed.This approach provides easy hardware implementation and straightforward interpretability in the basis of IF-THEN rules.The feasibility of fuzzy-neuro system used to real time identification and classification are enhanced.The pro- posed fuzzy-neuro system has been used in high voltage power transmission system.
出处
《工业控制计算机》
2012年第12期34-35,共2页
Industrial Control Computer
