Study on an Information Fusion Method Based on Information Entropy and Wavelet Neural Network

  • Authors:
  • Ping Xie;Yi-hao Du

  • Affiliations:
  • -;-

  • Venue:
  • ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 03
  • Year:
  • 2008

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Abstract

The information entropy analysis method is used in information fusion processing, information entropy description model and appraisal criterion which can realize auto-organization dynamic optimization of multi-source information fusion processing are established; Simultaneously, wavelet neural network model which can realize information fusion and decision-making is designed, corresponding network architecture and optimization learning algorithm which can rapidly and effectively complete information fusion and decision-making are studied. The validity of the method is shown by fusing and decision-making measured data of rotor system.