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PENGENALAN MOTIF BATIK MENGGUNAKAN ROTATED WAVELET FILTERDAN NEURAL NETWORK

  • Arisandi B
  • Suciati N
  • Wijaya A
JUTI: Jurnal Ilmiah Teknologi Informasi (2011) 9(2) 15
DOI: 10.12962/j24068535.v9i2.a34
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Abstract

rate 0.8, momentum 0.9, jumlah komposisi node hidden layer [40 10 1], dan level dekomposisi ke-5. Kata Kunci: pengenalan motif batik, rotated wavelet transform, fitur tekstur, neural network.

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APA

Arisandi, B., Suciati, N., & Wijaya, A. Y. (2011). PENGENALAN MOTIF BATIK MENGGUNAKAN ROTATED WAVELET FILTERDAN NEURAL NETWORK. JUTI: Jurnal Ilmiah Teknologi Informasi, 9(2), 15. https://doi.org/10.12962/j24068535.v9i2.a34

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