Experimental analysis of the random memory space

Mexico* 4 A b S b ' d -T h e Kanerva's SDM classic model has been modified using a Random Memory Space, whose qualities in two dimensions allow a significant reduction in the memory requirements of the modified net. The memory is managed in a space sharing mode; in this paper, we present techniques that allow this kind of memory management, and we show that the operation of this kind of Kanerva's nets in two and three-dimensional configurations works better than the conventional one dimension case. We introduce too a short-term memory model that increases the modified net's performance of recognizing.

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Shared memory nodes and discriminant's reduced storage in two dimensional modified Kanerva's sparse distributed memory model

Munoz-Gutierrez

Mayol-Cuevas

Sanchez-Guzman

et al.

1995 IEEE International Conference on Systems, Man and Cybernetics. Intelligent Systems for the 21st Century

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Experimental analysis of the random memory space

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Shared memory nodes and discriminant's reduced storage in two dimensional modified Kanerva's sparse distributed memory model

Shared memory nodes and discriminant's reduced storage in two dimensional modified Kanerva's sparse distributed memory model

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