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Detail
BukuSistem Pengenal Huruf Katakana Berbasis Neuro-Fuzzy (Jurnal Sains dan Teknologi EMAS. vol.15. no.1. Feb. 2005)
Bibliografi
Author: Danny, Antonius ; Pandjaitan, Lanny W.
Topik: KATAKANA; JARINGAN SYARAF TIRUAN; NEURO-FUZZY; RECOGNITION
Bahasa: (ID )    
Penerbit: Jurnal Sains dan Teknologi EMAS     Tempat Terbit: Jakarta    Tahun Terbit: 2005    
Jenis: Article - diterbitkan di jurnal ilmiah nasional
Fulltext: Sistem Pengenal Huruf Katakana Berbasis Neuro-Fuzzy.pdf (506.64KB; 3 download)
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: RR-2392
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
    Lihat Detail Induk
Abstract
Artificial Neural Network (ANN) has been widely used in identification and recognition system, ch as voice recognition, card recognition, handwriting recognition etc. Since Artificial Neural Network ponds mainly on numerical computation, the recognition results are not always satisfied. This paper discusses the combination of ANN and Fuzzy Logic developed for solving the problem above. The sinthesizing of ANN and Fuzzy Logic is called Neuro-Fuzzy In this paper the Neuro-Fuzzy system tried to recognize a set of Katakana alphabets from the English language syntaxes.
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