A New k-Winners-Take-All Neural Network and Its Array Architecture  

Oleh:

Yen, Jui-Cheng ; Guo, Jiun-In ; Chen, Hun-Chen

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 9 no. 5 (1998), page 901-912.
Topik: ARCHITECTURE; k - winners - take - all; neural network; array architecture

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.3 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In this paper, a new neural - network model called WINSTRON and its novel array architecture are proposed. Based on a competitive learning algorithm that is originated from the coarse - fine competition, WINSTRON can identify the k larger elements or the k smaller ones in a data set. We will then prove that WINSTRON converges to the correct state in any situation. In addition, the convergence rates of WINSTRON for three special data distributions will be derived. In order to realize WINSTRON, its array architecture with low hardware complexity and high computing speed is also detailed. Finally, simulation results are included to demonstrate its effectiveness and its advantages over three existing networks.

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