Paper Title:
Improved CPN Network Applying in the Failure Diagnosis of Electronic Gasoline
  Abstract

We diagnose the Electronic Gasoline failure according to the improved CPN neural network. In the normal CPN neural network, it allows one neuron to win. We improved the CPN neural network based on the developed CPN and allow two neurons to win in the competition layer. The two winning neurons affect the Weights simultaneously. This improved method can adjust the weight values in the CPN model more accurately and give more accurate output for testing data.

  Info
Periodical
Advanced Materials Research (Volumes 179-180)
Edited by
Garry Zhu
Pages
60-63
DOI
10.4028/www.scientific.net/AMR.179-180.60
Citation
J. Kong, S. S. Bao, "Improved CPN Network Applying in the Failure Diagnosis of Electronic Gasoline", Advanced Materials Research, Vols. 179-180, pp. 60-63, 2011
Online since
January 2011
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