The Radial Basis Functions — Partial Least Squares approach as a flexible non-linear regression technique
Analytica Chimica ActaPublished 1 September 1996
Beata Walczak, D.L. Massart
Citations196
SJR quartileQ1
SJR score1.00
SNIP1.12
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Abstract
A new approach founded on Radial Basis Functions (RBF) and Partial Least Squares (PLS) is proposed to model non-linear chemical systems. Its performance is demonstrated for two simulated examples and compared with those of Multilayer Feedforward Network (MLP), Radial Basis Function Network (RBFN), and Spline-PLS. Good performance and a guaranteed learning algorithm of the RBF-PLS approach makes it an attractive alternative for the earlier established methods.
Keywords
ChemistryComputer ScienceEngineering
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