Detail Neural Networks Expand SP’s Horizons   Oleh:  Haykin, S. Jenis: Article from Bulletin/Magazine Dalam koleksi: IEEE Signal Processing Magazine vol. 13 no. 2 (1996), page 24-49. Topik: neural network; neural networks; SP's horizon Ketersediaan Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.1 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada     Lihat Detail Induk Isi artikel Advanced algorithms for signal processing simultaneously account for nonlinearity, nonstationarity, and non - Gaussianity. The article examines the use of neural networks as an engineering tool for signal processing applications. The aim is three fold : to articulate a new philosophy in the approach to statistical signal processing using neural networks, which (either by themselves or in combination with other suitable techniques) account for the practical realities of non linearity, nonstationarity, and non - Gaussianity ; to describe three case studies using real - life data, which clearly demonstrate the superiority of this new approach over the classical approaches to statistical signal processing ; and to discuss mutual information as a criterion for designing unsupervised neural networks, thus moving away from the mean - square error criterion. Opini Anda Klik untuk menuliskan opini Anda tentang koleksi ini! Kembali

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