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Stimulus preprocessing for holographic neural networks (CROSBI ID 32621)

Prilog u knjizi | izvorni znanstveni rad

Manger, Robert ; Plantamura, Vito Leonardo ; Souček, Branko Stimulus preprocessing for holographic neural networks // Frontier Decision Support Concepts / Plantamura, Vito Leonardo ; Souček, Branko ; Visaggio, Giuseppe (ur.). New York (NY): John Wiley & Sons, 1994. str. 79-90-x

Podaci o odgovornosti

Manger, Robert ; Plantamura, Vito Leonardo ; Souček, Branko

engleski

Stimulus preprocessing for holographic neural networks

There are two types of preprocessing which are of fundamental importance for holographic neural networks. The first type is stimulus symmetrization, which assures reasonable accuracy in reproducing the learned stimulus-response associations. The second type is stimulus expansion, which increases the number of stimulus-response associations that can accurately be encoded into a holographic neuron. In this chapter we review the standard preprocessing methods used for holographic neural networks, and also propose two new methods, i.e. one for each of the two types of preprocessing. Some situations are described where these new methods are useful, and some experimental results are listed. We believe that our proposals greatly enhance the applicability of holographic networks.

artificial neural networks, holographic neural technology, preprocessing

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Podaci o prilogu

79-90-x.

objavljeno

Podaci o knjizi

Frontier Decision Support Concepts

Plantamura, Vito Leonardo ; Souček, Branko ; Visaggio, Giuseppe

New York (NY): John Wiley & Sons

1994.

0-471-59256-0

Povezanost rada

Računarstvo, Matematika