Work place: College of Electrical Engineering , Liaoning University of Technology, Jinzhou, P.R.China
E-mail: zhao7267@163.com
Website:
Research Interests: Control Theory, Process Control System
Biography
Zhao Yueling, born in Jinzhou, China, in June 7th, 1972, and received his Ph.D degree in Northeastern University, Shenyang, China in 2006. He is currently a associate professor with College of Electrical Engineering, Liao Ning University of Technology ,China. His current research interests include Intelligent Control , and Rough Set Theory Applications, et al.
By Yueling ZHAO Hui jin Lihong Wang Shuang WANG
DOI: https://doi.org/10.5815/ijigsp.2011.02.08, Pub. Date: 8 Mar. 2011
Considering training time of traditional BP neural network is too long and it cannot solve the problems in the input vector with multiple-valued, a new method of BP neural network based on rough neuron is presented. A rough neuron can be viewed as a pair of neurons. One neuron corresponds to the upper boundary and the other corresponds to the lower boundary. Upper and lower neuron exchange information with each other during the calculation of their outputs. Firstly, the continuous attributes in diagnostic decision system are discretized with particle swarm optimization. Then, the reducts are found based on attribute dependence of rough set, and the optimal diagnostic decision is determined. Lastly, according to the optimal decision system, rough neuron network is designed for fault diagnosis. A practical example is given , the method is feasible and available.
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