PCNN的周期特性分析

Period characteristics analysis of PCNN

  • 摘要: 脉冲耦合神经网络(PCNN)已在图像处理等诸多领域得到了有效应用.但目前PCNN模型的动力学特性未得到有效分析,使其在具体应用中始终存在参数难以设定的问题.为了进一步拓展PCNN模型应用的发展,详细分析了PCNN离散模型的周期特性,并得出了相应的数学解析式.实验仿真结果验证了分析结论的正确性.

     

    Abstract: Pulse Coupled Neutral Network (PCNN) can be implemented on many application areas such as image processing effectively.But little researches are about dynamic characteristics of PCNN in present,as a result,the determination of parameters for PCNN is very difficult in the specific application.In order to further exploit the PCNN model application development,period characteristics of a discrete PCNN model are analyzed theoretically and deduced by formula in detail.Simulation results demonstrate the correctness of the analysis conclusion.

     

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