摘要
This paper presents a neural based algorithm to locate analog fault. It uses the characteristic of the category of BP networks to identify k faults of analog networks. This method trains the BP networks to general fault dictionary with extending ability. The proposed method can be used to locate faults on real-time.
This paper presents a neural based algorithm to locate analog fault. It uses the characteristic of the category of BP networks to identify k faults of analog networks. This method trains the BP networks to general fault dictionary with extending ability. The proposed method can be used to locate faults on real-time.
出处
《湖南大学学报（自然科学版）》
EI
CAS
CSCD
2000年第S2期139-142,共4页
Journal of Hunan University:Natural Sciences
