HE Jiazhou, ZHOU Zhihua, GAO Yang, CHEN Shifu. A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIERJ. Journal of Computer Research and Development, 2001, 38(1): 93-97.
Citation:
HE Jiazhou, ZHOU Zhihua, GAO Yang, CHEN Shifu. A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIERJ. Journal of Computer Research and Development, 2001, 38(1): 93-97.
HE Jiazhou, ZHOU Zhihua, GAO Yang, CHEN Shifu. A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIERJ. Journal of Computer Research and Development, 2001, 38(1): 93-97.
Citation:
HE Jiazhou, ZHOU Zhihua, GAO Yang, CHEN Shifu. A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIERJ. Journal of Computer Research and Development, 2001, 38(1): 93-97.
A FAULT DIAGNOSTIC MODEL BASED ON NOVEL NEURAL NETWORK CLASSIFIER
In this paper, a new universial fault instance model is proposed, which aims to solve problems existing in the present technology of fault diagnosis, such as the lack of universality, the difficulty in the use of real time system and the dilemma of stability and plasticity. The FANNC used can settle problems mentioned above by its effectively incremental ability and processing new input patterns via one round learning.
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