A New Wide Range Euclidean Distance Circuit for Neural Network Ijardware Implementations  

Oleh:

Gopalan, A. ; Titus, A. H.

Jenis: Article from Journal - ilmiah internasional
Dalam koleksi: IEEE Transactions on Neural Networks vol. 14 no. 5 (2003), page 1176-1186.
Topik: HARDWARE; wide range; euclidean; distance circuit; neural network; hardware

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: II36.9 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

In this paper, we describe an analog very large - scale integration (VLSI) implementation of a wide range Euclidean distance computation circuit - the key element of many synapse circuits. This circuit is essentially a wide-range absolute value circuit that is designed to be as small as possible (80 × 76 µm) in order to achieve maximum synapse density while maintaining a wide range of operation (0.5 to 4.5 V) and low power consumption (less than 200 µW). The circuit has been fabricated in 1.5 - µm technology through MOSIS. We present simulated and experimental results of the circuit, and compare these results. Ultimately, this circuit is intended for use as part of a high - density hardware implementation of a self - organizing map (SOM). We describe how this circuit can be used as part of the SOM and how the SOM is going to be used as part of a larger bio - inspired vision system based on the octopus visual system.

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