PERLC PERLC - Trainable linear perceptron classifier
W = PERLC(A,MAXITER,ETA,W_INI,TYPE)
DescriptionOutputs a perceptron W trained on dataset A using learning rate ETA for a maximum of MAXITER iterations (or until convergence). If ETA is NaN it is optimised by REGOPTC. The resulting linear base-classifiers are combined by the maximum confidence rule. A better combiner usually will be QDC, e.g. W = A*(PERLC*QDC([],[],1e-6)). See alsodatasets, mappings, nmc, fisherc, bpxnc, lmnc, regoptc, fishercc,
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