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RBNC
W = RBNC(A,UNITS)
Input | |
A | Dataset |
UNITS | Number of RBF units in hidden layer |
Output | |
W | Radial basis neural network mapping |
A feed-forward 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 calls MathWork's SOLVERB routine (Neural Network toolbox) as SOLVB.
mappings, datasets, lmnc, bpxnc, neurc, rnnc, regoptc,
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