Analysis of autowave characteristics for competitive pulse coupled neural network and its application

Authors:
Dongming Zhou;Rencan Nie;Dongfeng Zhao
Affiliations:
Information College, Yunnan University, Kunming 650091, China;Information College, Yunnan University, Kunming 650091, China;Information College, Yunnan University, Kunming 650091, China
Venue:
Neurocomputing
Year:
2009

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Abstract

The characteristics of pulse wave propagation of competitive pulse coupled neural network (CPCNN) are analyzed for the solution of the network shortest routing. The setting terms of the neuron parameters for the pulse wave propagation along the routing of the shortest path tree (SPT) of the network routing graph are educed. The simulation results show that the proposed method is an effective algorithm when the network routing graph holds many nodes. With the nodes number of the network increasing, the number of iterations of our algorithm will basically hold the line. The method shows better computational performance and dominance.