Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems

@article{Babu2013SequentialPM,
  title={Sequential Projection-Based Metacognitive Learning in a Radial Basis Function Network for Classification Problems},
  author={G. Sateesh Babu and Sundaram Suresh},
  journal={IEEE Transactions on Neural Networks and Learning Systems},
  year={2013},
  volume={24},
  pages={194-206}
}
In this paper, we present a sequential projection-based metacognitive learning algorithm in a radial basis function network (PBL-McRBFN) for classification problems. The algorithm is inspired by human metacognitive learning principles and has two components: a cognitive component and a metacognitive component. The cognitive component is a single-hidden-layer radial basis function network with evolving architecture. The metacognitive component controls the learning process in the cognitive… CONTINUE READING
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