A Neural Network Based Approach For Sensors Issued Data Fusion

  • Abdennasser Chebira
  • Kourosh Madani
Part of the Advances in Soft Computing book series (AINSC, volume 19)


In this paper, we present a Functional Link Network (FLN) based neural technique for sensors issued data fusion. Thanks to a pruning algorithm, we build dynamically the internal layer of the FLN, constructing an optimal architecture of the FLN neural network defining an optimal fusion policy. As the neural FLN minimize the mean square error (MSE) during the learning step, an optimal fusion policy is reached in the sense of the MSE. Experimental results related to performances enhancement of metric sensors have been reported validating our approach.


Mean Square Error Data Fusion Radial Basis Function Pruning Algorithm Optimal Architecture 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Abdennasser Chebira
    • 1
  • Kourosh Madani
    • 1
  1. 1.Intelligence in Instrumentation and Systems Lab. (I2S)SENART Institute of Technology - University PARIS XIILieusaintFrance

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