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《Journal of Chongqing University》 2010-01
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A new pattern recognition method of gas sensor array detection

CHEN Wei-gen,QI Hui,WANG You-yuan,PENG Shu-di(State Key Laboratory of Power Transmission Equipment and System Security and New Technology,Chongqing University,Chongqing 400044,P.R.China)  
BP neural network based gas sensor array detection pattern recognition has some disadvantages,such as slow convergence and local minimum problem.A modified immune neural network model which combines BP algorithm and immune algorithm is proposed to enhance global search capability and improve the performance of the neural network model.Orthogonal test is adopted to design the study samples of neural network.This ensures the accuracy of neural network while reducing the number of samples.The simulation results show that the proposed pattern recognition method solves the cross sensitivity of gas sensor effectively,overcomes the disadvantages of traditional BP neural network and improves the learning speed and detection accuracy.
【Fund】: 重庆市自然科学基金重点资助项目(CSTC2007BA3002)
【CateGory Index】: TP212
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