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The Radial Basis Functions — Partial Least Squares approach as a flexible non-linear regression technique

✍ Scribed by B. Walczak; D.L. Massart


Publisher
Elsevier Science
Year
1996
Tongue
English
Weight
699 KB
Volume
331
Category
Article
ISSN
0003-2670

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✦ Synopsis


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.