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《Journal of Circuits and Systems》 2004-04
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On the Features of Quantum Neuron

LI Fei, ZHAO Sheng-mei, ZHENG Bao-yu ( Institute of Signal & Information Processing, Nanjing University of Posts & Telecommunications, Nanjing 210003, China )  
Quantum Neural Networks (QNN) is naturally the next step in the evolution of neuro-computing system. QNN may give us unprecedented possibilities in creating new system for information processing. The fundamentals of QNN are introduced, a model for quantum neuron is described. A quantum learning algorithm is proposed and its convergence property is discussed. The computational power of the quantum neuron is explored. Numerical and graphical results show that this single quantum neuron can perform XOR function unrealizable with a classical neuron and has the same computational power as the two-layer NN, it can be used to realize nonlinear mapping.
【Fund】: 国家自然科学基金资助项目(60272066);; 江苏省教育厅科研基金资助项目(2001省19)
【CateGory Index】: TP18
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【Secondary References】
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1 Long Bohua Tan Yanghong Xu Hui Sun Lei Wen Juan (Hunan University Changsha 410012 China);Fault Diagnosis of Power Electronic Circuits Based on Quantum Neural Network[J];Transactions of China Electrotechnical Society;2009-10
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3 LIU Yong-hong,LI Fei(Department of Communication & Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China);Performance of multiuser detection for CDMA system using quantum neural networks in flat Rayleigh fading environment[J];Information Technology;2007-09
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