Adaptive Parameters Determination Method of Pulse Coupled Neural Network Based on Water Valley Area

  • Min Li
  • Wei Cai
  • Zheng Tan
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4233)


Pulse coupled neural network (PCNN) is different from traditional artificial neural networks, models of which have biological background and are based on the experimental observations of synchronous pulse bursts in the cat visual cortex. However, it is very difficult to determine the exact relationship between the parameters of PCNN model. Focusing on the famous difficult problem of PCNN, how to determine the optimum parameters automatically, this paper proposes the definition of water valley area, establishes a modified PCNN, and puts forward an adaptive PCNN parameters determination algorithm based on water valley area. Extensive experimental results on image processing demonstrate its validity and robustness.


Image Segmentation Synthetic Aperture Radar Iteration Time Pulse Couple Neural Network Segmented Result 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Min Li
    • 1
    • 2
  • Wei Cai
    • 2
  • Zheng Tan
    • 1
  1. 1.School of Electronics and Information EngineeringXi’an Jiaotong UniversityXi’anP.R. China
  2. 2.Xi’an Research Inst. of Hi-TechP.R.C.

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