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Book Chapter

Radial Basis Function Neural Networks: Theory and Applications

  • Strumiłło P
  • Kamiński W
Physica-Verlag HD, (2003), 107-119
DOI: 10.1007/978-3-7908-1902-1_14
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Abstract

Essential theory and main applications of feed-forward connectionist structures termed radial basis function (RBF) neural networks are given. Universal approximation and Cover’s theorems are outlined that justify powerful RBF network capabilities in function...

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Strumiłło, P., & Kamiński, W. (2003). Radial Basis Function Neural Networks: Theory and Applications. In Neural Networks and Soft Computing (pp. 107–119). Physica-Verlag HD. https://doi.org/10.1007/978-3-7908-1902-1_14

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