Performance Analysis for A K-Winners-Take-All Analog Neural Network : Basic Theory  

Oleh:

Marinov, C. A. ; Calvert, B. D.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 4 (Jul. 2003), page 766-780.
Topik: analog cellular; performance analysis; K- winners - take -all; analog neural network; basic theory

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.8 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In a previous work, the authors proposed an analog Hopfield - type neural network that identified the K largest components of a list of real numbers. In this work, we identify computable restrictions on the parameters, in order that the network can repeatedly process lists, one after the other, at a given rate. A complete mathematical analysis gives analytical bounds for the time required in terms of circuit parameters, the length of the lists, and the relative separation of list elements. This allows practical setting of circuit parameters for required clocking times. The emphasis is on high gain functioning of each neuron. Numerical investigations show the accuracy of the theoretical predictions, and study the influence of various parameters on performance.

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