Research Article

Towards Utilization of Neurofuzzy Systems for Taxonomic Identification Using Psittacines as a Case Study

Table 2

Round 2. Data separated by gender for some species (see the Appendix); 3,660 patterns presented for use in training; NEFCLASS-J defaults for learning constraints and learning rate were kept; maximum number of epochs was 500, minimum number of epochs was 10, and number of epochs after optimum was 25.

MF shapeAggregation functionLearning procedureCorrectly classified %Num. rulesMean error

TriangularMaximumBest96.991,8010.327869
TriangularMaximumBest per class96.531,7840.338798
TriangularWeighted sumBest96.991,8010.333060
TriangularWeighted sumBest per class96.561,7850.335246
TrapezoidalMaximumBest97.91,9350.365574
TrapezoidalMaximumBest per class97.321,9160.360383
TrapezoidalWeighted sumBest97.91,9360.339617
TrapezoidalWeighted sumBest per class97.321,9170.361202
Bell-shapedMaximumBest0.5510.994536
Bell-shapedMaximumBest per class0.5510.994536
Bell-shapedWeighted sumBest0.5510.994536
Bell-shapedWeighted sumBest per class0.5510.994536