Pengaruh Variasi Jumlah Data Pelatihan SVM Terhadap Unjukkerja pada Sistem Pengenalan Pola Tulisan Tangan Aksara Jawa Nglegeno
Abstract: Support Vector
Machines (SVM) is one of many classification methods implemented on pattern
recognition, including handwritten character recognition system. Numbers of
traning set will affect the performance of the recognition system. A basic
Jawanessehandwritten character recognition system based on SVM used to show the
effect of training set numbers variation on system performance. The experiment
result indicating that SVM has good generalization on limiting training set (on
a data set, 30% data used for training set can give more than 90% success rate
on all data set).
Keywords: SVM, training set
number, generalization rate, handwritten character recognition, basic Jawanesse
charater recognition
Penulis: Azis Wisnu Widhi
Nugraha
Kode Jurnal: jptindustridd090068