A Connection between GRBF and MLP

@inproceedings{MaruyamaACB,
  title={A Connection between GRBF and MLP},
  author={Minoru Maruyama and Federico Girosi and Tomaso A. Poggio}
}
Both multilayer perceptrons (MLP) and Generalized Radial Basis Functions GRBF) have good approximation properties, theoretically and experimentally. Are they related? The main point of this paper 'is to show that for normalized inputs, multilayer perceptron networks are radial function networks albeit wth a non-standard radial function). This provides an interpretation of the weights u7 as centers t of the radial function network, and therefore as equivalent to templates. This 'Insight may be… CONTINUE READING
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