The Past, Present and Future of Neural Networks for Signal Processing  

Oleh:

Hwang, Jenq-Neng ; Kung, Sun-Yan ; Niranjan, M. ; Principe, J. C.

Jenis: Article from Bulletin/Magazine
Dalam koleksi: IEEE Signal Processing Magazine vol. 14 no. 6 (1997), page 28-32.
Topik: neural network; past; present; future; neural networks; signal processing

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: SS26.2 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

The article provides a review of the fundamental of neural networks and reports recent progress. Topics covered include dynamic modeling, model - based neural networks, statistical learning, eigenstructure - based processing, active learning, and generalization capability. Current and potential applications of neural networks are also described in detail. Those applications include optical character recognition, speech recognition and synthesis, automobile and aircraft control, image analysis and neural vision, and several medical applications. Essentially, neural networks have become a very effective tool in signal processing, particularly in various recognition tasks.

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