Flexible Structure Multiple Modeling Using Irregular Self-Organizing Maps Neural Network

@article{Fatehi2008FlexibleSM,
  title={Flexible Structure Multiple Modeling Using Irregular Self-Organizing Maps Neural Network},
  author={Alireza Fatehi and Kenichi Abe},
  journal={International journal of neural systems},
  year={2008},
  volume={18 4},
  pages={347-370}
}
The MMSOM identification method, which had been presented by the authors, is improved to the multiple modeling by the irregular self-organizing map (MMISOM) using the irregular SOM (ISOM). Inputs to the neural networks are parameters of the instantaneous model computed adaptively at every instant. The neural network learns these models. The reference vectors of its output nodes are estimation of the parameters of the local models. At every instant, the model with closest output to the plant… CONTINUE READING
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