Sabanur Çavdar, Esin Çetinkaya Sümer, Kayı Eliaçık, Aslıhan Arslan, Begüm Koyun, Nurhan Korkmaz, Ali Kanık, Ethem Erginöz, Oya Ercan, Müjgan Alikaşifoğlu
Health behaviors in high school students in İzmir, Turkey
Turk pediatri arsivi
introduce learn algorithm incremental training neural network nn pattern classifiers proposed algorithm enables supervised nn paradigms multilayer perceptron mlp accommodate new data including examples correspond previously unseen classes furthermore algorithm require access previously used data subsequent incremental learning sessions yet time forget previously acquired knowledge learn utilizes ensemble classifiers generating multiple hypotheses using training data sampled according carefully tailored distributions outputs resulting classifiers combined using weighted majority voting procedure present simulation results several benchmark datasets well realworld classification task initial results indicate proposed algorithm works rather well practice theoretical upper bound error classifiers constructed learn also provided