RBNC Trainable radial basis neural network classifier
W = RBNC(A,UNITS)
DescriptionA feedforward neural network classifier with one hidden layer with UNITS radial basis units is computed for labeled dataset A. Default UNITS is number of objects * 0.2, but not more than 100. Uses the Mathworks' Neural Network toolbox. If UNITS is NaN it is optimised by REGOPTC. This may take a long computing time and is often not significantly better than the default. This routine escapes to KNNC for sample sizes < 6. This routine calls MathWork's SOLVERB routine (Neural Network toolbox) as SOLVB. Consequently it is not available under Octave. See alsomappings, datasets, lmnc, bpxnc, neurc, rnnc, regoptc,
