The Study of the Robust Learning Algorithm for Neural Networks

  • Shigenobu Yamawaki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)


In this paper, we propose the robust learning algorithm for neural networks. The suggested algorithm is obtaining the expanded Kalman filter in the Krein space. We show that this algorithm can be applied to identify the nonlinear system in the presence of the observed noise and system noise.


Neural Network Nonlinear System Recurrent Neural Network Impulse Response Function System Noise 
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Shigenobu Yamawaki
    • 1
  1. 1.Department of Electric and Electronic Engineering, School of Science and EngineeringKinki UniversityOsakaJapan

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