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Table 3 Performance comparisons for the IS and VC problems

From: An incremental learning algorithm for the hybrid RBF-BP network classifier

Data sets Method N H neurons Training time(s) Testing η o Testing η a
IS SVM 96a 11.61 90.62
MRAN 78 11.68 85.82
GAP-RBF 87 5.77 86.34.
ELM 49 0 90.23
OS-ELM 100 0.01 90.67
ILRBF-BP 77 and 8b 2.09 91.57
VC SVM 234a 10.74 68.72 67.99
MRAN 105 10.38 60.24 60.02
GAP-RBF 81 9.87 58.94 58.17
ELM 300 0.09 68.01 67.39
OS-ELM 300 0.12 68.95 67.56
ILRBF-BP 258 and 9b 11.53 70.17 69.43
  1. aSupport vectors
  2. bRBF and BP hidden neurons