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ArtikelVehicle Detection Using A Hardware-Implemented Neural Net  
Oleh: Bullock, B. ; Mantri, S. ; Garrett, J., [Jr.]
Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Intelligent Systems vol. 12 no. 1 (1997), page 15-21.
Topik: HARDWARE; vehicle detection; hardware; neural net
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II60.2
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelThe authors describe how they developed a vehicle - detection model based on a radial basis function network and implemented it using the NI1000 recognition accelerator, which can classify up to 32,000 patterns per second - several hundred times faster than the software approach to neural net processing. A detection system using this implementation had a success rate greater than 90 %.
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