Optimization of training backpropagation algorithm using nguyen widrow for angina ludwig diagnosis

IOP Conf. Series: Journal of Physics: Conf. Series 1007 (2018) 012050 doi :10.1088/1742-6596/1007/1/012050

Jum'at, 04 Mei 2018 12:29 | Sudah dibaca 806 kali

Tooth and mouth disease is a common disease, with a prevalence of more than 40% (children aged less than 7 years) in milk teeth and about 85% (adults aged 17 years and over) on permanent teeth. Angina Ludwig is one of mouth disease type that occurs due to infection of the tooth root and trauma of the mouth. `In this study back propagation algorithm applied to diagnose AnginaLudwig disease (using Nguyen Widrow method in optimization of t raining time). From the experimental results, it is known that the average BPNN by using Nguyen Widrow is much faster which is about 0.0624 seconds and 0.1019 seconds (without NguyenWidrow). In contrast, for pattern recognition needs, found that back propagation without Nguyen Widrow is much better that is with 90% accuracy (only 70% with NguyenWidrow).

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