RBF networks for nonlinear models subject to linear constraints

@article{Qu2009RBFNF,
  title={RBF networks for nonlinear models subject to linear constraints},
  author={Ya-Jun Qu and Bao-Gang Hu},
  journal={2009 IEEE International Conference on Granular Computing},
  year={2009},
  pages={482-487}
}
In this work, we present a study of nonlinear modelings based on RBF networks. The incorporation of prior knowledge in modelings is our specific concern for adding transparency and improving the performance of the networks. We focus on the prior knowledge within the class of linear constraints, which includes both linear equality and linear inequality constraints. Different with other existing modeling approaches using Lagrange multiplier technique, we propose a sub-model using the same RBF… CONTINUE READING
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