Pelatihan Learning Vector Quantization

Tabel 3.6 Perhitungan Bobot W j baru Wjbaru = Wjlama + α [x - Wjlama] w1 60.800+0.045[76-60.800] 61.48400 w2 98.700+0.045[112-98.700] 99.29850 w3 106.500+0.045[116-106.500] 106.92750 w4 93.550+0.045[123-93.550] 94.87525 w5 73.700+0.045[68-73.700] 73.44350 w6 95.850+0.045[93-95.800] 95.72175 w7 99.700+0.045[94-99.700] 99.44350 w8 94.550+0.045[105-94.550] 95.02025 w9 89.600+0.045[82-89.600] 89.25800 w10 104.800+0.045[101-104.800] 104.62900 w11 113.800+0.045[110-113.800] 113.62900 w12 106.400+0.045[114-106.400] 106.74200 w13 65.700+0.045[79-65.700] 66.29850 w14 81.600+0.045[93-81.600] 82.11300 w15 101.550+0.045[112-101.550] 102.02025 w16 97.050+0.045[117-97.050] 97.94775 Hitung perubahan nilai rasio, seperti berikut: � � = 0.045−0.10.045 = 0.0405 Epoch ke-3: Data ke-1

76, 112, 116, 123, 68, 93, 94, 105, 82, 101, 110, 114, 79, 93, 112, 117

Hitung jarak Cj terhadap bobot awal w, seperti terlihat pada Tabel 3.7: Tabel 3.7 Perhitungan Jarak Cj X W j lama x-w baru 2 √ � 76 61.48400 210.71426 47.80958 112 99.29850 161.32810 116 106.92750 82.31026 123 94.87525 791.00156 68 73.44350 29.63169 93 95.72175 7.40792 94 99.44350 29.63169 105 95.02025 99.59541 82 89.25800 52.67856 101 104.62900 13.16964 110 113.62900 13.16964 114 106.74200 52.67856 79 66.29850 161.32810 93 82.11300 118.52677 112 102.02025 99.59541 117 97.94775 362.98823 Hitung bobot baru berdasarkan jarak terkecil Hitung bobot w baru berdasarkan jarak terkecil dengan � � = 0.0405 , seperti telihat pada Tabel 3.8 Tabel 3.8 Perhitungan Bobot W j baru Dilakukan perhitungan perubahan nilai rasio, seperti berikut: � = 0.0405−0.10.0405 = 0.03645 Epoch ke-4: Data ke-1

76, 112, 116, 123, 68, 93, 94, 105, 82, 101, 110, 114, 79, 93, 112, 117

Hitung jarak Cj terhadap bobot awal w, seperti terlihat pada Tabel 3.9: Tabel 3.9 Perhitungan Jarak Cj X w baru x-w baru 2 √ � 76 62.0719 193.992 45.87329 112 99.81291 148.5251 116 107.2949 75.77813 123 96.0143 728.2279 68 73.22304 27.28013 93 95.61152 6.82003 94 99.22304 27.28013 105 95.42443 91.69154 Wjbaru = Wjlama + α [x - Wjlama] w1 61.48400+0.0405[76-61.48400] 62.07190 w2 99.29850+0.0405[112-99.29850] 99.81291 w3 106.9750+0.0405[116-106.9750] 107.29494 w4 94.87525+0.0405[123-94.87525] 96.01430 w5 73.44350+0.0405[68-73.44350] 73.22304 w6 95.72175+0.0405[93-95.72175] 95.61152 w7 99.44350+0.0405[94-99.44350] 99.22304 w8 95.02025+0.0405[105-95.02025] 95.42443 w9 89.25800+0.0405[82-89.25800] 88.96405 w10 104.62900+0.0405[101-104.62900] 104.48203 w11 113.62900+0.0405[110-113.62900] 113.48203 w12 106.74200+0.0405[114-106.74200] 107.03595 w13 66.29850+0.0405[79-66.29850] 66.81291 w14 82.11300+0.0405[93-82.11300] 82.55392 w15 102.02025+0.0405[112-102.02025] 102.42443 w16 97.94775+0.0405[117-97.94775] 98.71937 82 88.96405 48.49801 101 104.482 12.1245 110 113.482 12.1245 114 107.036 48.49801 79 66.81291 148.5251 93 82.55392 109.1205 112 102.4244 91.69154 117 98.71937 334.1816 Hitung bobot baru berdasarkan jarak terkecil Hitung bobot w baru berdasarkan jarak terkecil dengan � � = 0.03645 , seperti telihat pada Tabel 3.10 Tabel 3.10 Perhitungan Bobot W j baru Wjbaru = Wjlama + α [x - Wjlama] w1 62.07190+0.03645[76-62.07190] 62.63599 w2 99.81291+0.03645[112-99.81291] 100.30649 w3 107.29494+0.03645[116-107.29494] 107.64749 w4 96.01430+0.03645[123-96.01430] 97.10722 w5 73.22304+0.03645[68-73.22304] 73.01151 w6 95.61152+0.03645[93-95.61152] 95.50575 w7 99.22304+0.03645[94-99.22304] 99.01151 w8 95.42443+0.03645[105-95.42443] 95.81224 w9 88.96405+0.03645[82-88.96405] 88.68201 w10 104.48203+0.03645[101-104.48203] 104.34100 w11 113.48203+0.03645[110-113.48203] 113.34100 w12 107.03595+0.03645[114-107.03595] 107.31799 w13 66.81291+0.03645[79-66.81291] 67.30649 w14 82.55392+0.03645[93-82.55392] 82.97699 w15 102.42443+0.03645[112-102.42443] 102.81224 w16 98.71937+0.03645[1170-98.71937] 99.45973 Dilakukan perhitungan perubahan nilai rasio, seperti berikut: � = 0.03645−0.10.3645 = 0.03281

2. Pengujian Learning Vector Quantization

Proses Pengujian dengan metode Learning Vector Quantization menggunakan rumus yang sama dengan perhitungan bobot pada proses pelatihan. Berikut ini langkah- langkahnya: