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《Journal of Southwest University(Natural Science Edition)》 2014-01
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Applications of Memristive Fourier Neural Network in Image Restoration

WANG Li-dan;DUAN Shu-kai;DUAN Mei-tao;School of Electronic and Information Engineering,Southwest University;  
A new memristive Fourier neural network was proposed based on the combination of the traditional Fourier neural network and a memristor,a new circuit element,with the memristor acting as the synapse.The relationship between memristive conductance and synapse weight updating was derived,and the weight updating rule of the memristive synapse was proposed.The single input memristive Fourier neural network was built,and a memristive BP algorithm was used to process blurred binary and gray images.Matlab simulation confirmed that the memristive BP algorithm proposed could realize image restoration and heighten the legibility of images.The memristive Fourier neural network could be used for solving complex image processing problems.
【Fund】: 新世纪优秀人才支持计划(教技函[2013]47号);; 国家自然科学基金资助项目(61372139 61101233 60972155);; 教育部“春晖计划”科研项目(Z2011148);; 留学人员科技活动项目择优资助经费资助项目(国家级 优秀类 渝人社办[2012]186号);; 重庆市高等学校优秀人才支持计划(渝教人[2011]65号);; 重庆市高等学校青年骨干教师资助计划(渝教人[2011]65号);; 中央高校基本科研业务费专项资金(XDJK2012A007 XDJK2013B011)
【CateGory Index】: TP183
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