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A Performance Comparison of Backpropagation Neural Networks and Learning Vector Quantization Techniques for Sundanese Characters Recognition


Haviluddin, Herman Santoso Pakpahan, Dinda Izmya Nurpadillah, Hario Jati Setyadi, Arif Harjanto, Rayner Alfred


Vol. 24  No. 3  pp. 101-106


This article aims to compare the accuracy of the Backpropagation Neural Network (BPNN) and Learning Vector Quantization (LVQ) approaches in recognizing Sundanese characters. Based on experiments, the level of accuracy that has been obtained by the BPNN technique is 95.23% and the LVQ technique is 66.66%. Meanwhile, the learning time that has been required by the BPNN technique is 2 minutes 45 seconds and then the LVQ method is 17 minutes 22 seconds. The results indicated that the BPNN technique was better than the LVQ technique in recognizing Sundanese characters in accuracy and learning time.


Sundanese characters, BPN, LVQ, Accuracy, MSE.