IGMN : An Incremental Gaussian Mixture Network that Learns Instantaneously from Data Flows

@inproceedings{Heinen2011IGMNA,
  title={IGMN : An Incremental Gaussian Mixture Network that Learns Instantaneously from Data Flows},
  author={Milton Roberto Heinen and Paulo Engel and Rafael C. Pinto},
  year={2011}
}
This works proposes IGMN (standing for Incremental Gaussian Mixture Network), a new connectionist approach for incremental concept formation and robotic tasks. It is inspired on recent theories about the brain, specially the Memory-Prediction Framework and the Constructivist Artificial Intelligence, which endows it with some unique features that are not present in most ANN models such as MLP and GRNN. Moreover, IGMN is based on strong statistical principles (Gaussian mixture models) and… CONTINUE READING

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