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机构地区:[1]复旦大学电子工程系,上海200433 [2]北京大学电子学系,北京100871
出 处:《计算机工程与应用》2004年第19期6-8,103,共4页Computer Engineering and Applications
基 金:国家自然科学基金资助项目(编号:60171036;30370392);中国博士后科学基金资助项目(编号:2003034282)
摘 要:近年来,具有生物学背景的脉冲耦合神经网络(PulseCoupledNeuralNetwork,PCNN)引起越来越多研究者的注意,在图像处理领域得到广泛的应用,对其展开研究具有重要的理论意义及应用价值,但目前相关的研究还远不够深入。至今尚未发现公开发表的研究PCNN动态行为的论文,而对PCNN动态行为展开研究是进一步拓展其应用的基础。该文依次具体分析了由两个乃至多个神经元构成的PCNN在一定条件下的动态行为,得到以下结论:一定条件下,PCNN的脉冲发放形式是周期性振荡的,其动态行为也是周期性振荡的。同时给出了每个振荡周期内各个神经元只点火一次的条件。For the last several years,more and more researchers pay attention to PCNN —Pulse Coupled Neural Network based on biological experimental results,which h as been widely applied in image processing.Doing research on PCNN has the impor tant significance and value in theories and applications.Today the research of PCNN is still at the begin-ning and more work need to do further.So far no pu blished paper of researches on dynamical behavior has been found.This research work should be done and it is the base of expanding applications of PCNN.In thi s paper,under some conditions,dynamical behaviors of PCNN composed of two ne urons and many neurons are analyzed in detail respectively and authors obtain th e conclusion that under these conditions,the dynamical behaviors of PCNN are pe riodical.Mean-while,the condition guaranteeing that each neuron only fires on ce during each periodicity is given.
分 类 号:TN911.73[电子电信—通信与信息系统]
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