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Detail
ArtikelApplication of Adaptive Constructive Neural Networks to Image Compression  
Oleh: Khorasani, K. ; Ma, L.
Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 13 no. 5 (2002), page 1112-1126.
Topik: IMAGE; application; adaptive constructive; neural networks; image compression
Ketersediaan
  • Perpustakaan Pusat (Semanggi)
    • Nomor Panggil: II36.7A
    • Non-tandon: 1 (dapat dipinjam: 0)
    • Tandon: tidak ada
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Isi artikelThe objective of the paper is the application of an adaptive constructive one - hidden - layer feedforward neural networks (OHL - FNN s) to image compression. Comparisons with fixed structure neural networks are performed to demonstrate and illustrate the training and the generalization capabilities of the proposed adaptive constructive networks. The influence of quantization effects as well as comparison with the baseline JPEG scheme are also investigated. It has been demonstrated through several experiments that very promising results are obtained as compared to presently available techniques in the literature.
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