A sequential learning algorithm for self-adaptive resource allocation network classifier

@article{Suresh2010ASL,
  title={A sequential learning algorithm for self-adaptive resource allocation network classifier},
  author={Sundaram Suresh and Keming Dong and Hyo Jun Kim},
  journal={Neurocomputing},
  year={2010},
  volume={73},
  pages={3012-3019}
}
This paper addresses sequential learning algorithm for self-adaptive resource allocation network classifier. Our approach makes use of self-adaptive error based control parameters to alter the training data sequence, evolve the network architecture, and learn the network parameters. In addition, the algorithm removes the training samples which are similar to the stored knowledge in the network. misclassification information and hinge loss error in growing/learning criterion helps in… CONTINUE READING
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An Introduction to Support Vector Machines

  • N. Cristianini, J. S. Taylor
  • Cambridge University Press, Cambridge, UK
  • 2000
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