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Luo Xiaobin
Yin Guofu
Chen Ke
Hu Xiaobing
Luo Yang
Institute of CAD&CAM,
Sichuan University,
Chengdu 610065, China |
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FUZZY NEURAL NETWORK FOR
MACHINE PARTS RECOGNITION
SYSTEM*
Abstract: The primary purpose is to develop a robust adaptive machine parts recognition system. A fuzzy neural network classifier is proposed for ma-chine parts classifier. It is an efficient modeling method. Through learning, it can approach a random nonlinear function. A fuzzy neural network classifier is presented based on fuzzy mapping model. It is used for machine parts classification. The experimental system of machine parts classification is introduced. A robust least square back-propagation (RLSBP) training algorithm which combines robust least square (RLS) with back-propagation (BP) algorithm is put forward. Simulation and experimental results show that the learning property of RLSBP is superior to BP.
Key words:
Fuzzy neural network I mage processing RLSBP algorithm Machine parts classification |