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Detail
BukuSimulasi Pemisahan Benda Berbasis Jaringan Syaraf Tiruan
Bibliografi
Author: Tanudjaya, Harlianto
Topik: ELECTRO; COMPUTER; BRAIN NETWORK
Bahasa: (ID )    
Penerbit: UKI Press     Tempat Terbit: Jakarta    Tahun Terbit: 2002    
Jenis: Article - diterbitkan di jurnal ilmiah nasional
Fulltext: Simulasi Pemisahan Benda Berbasis Jaringan Syaraf Tiruan.pdf (837.47KB; 5 download)
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: RR-1724
    • Non-tandon: tidak ada
    • Tandon: 1
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Abstract
in industry, separation of objects on line production is needed. For that purpose a system separation of object artificial human power neural network until the separation of object is executed automatic. The result is made by using of image is processed (quantified) and send to the artificial neural network. Algorithm artificial neural network that is used for separation of object is Kohonen 's algorithm (unsupervised training). Each image of object that is learned is clustered to a sel. These sels will represent or determine that kind of object.
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