In this paper, a new noise rejection method for linear associative memories is proposed. It is shown that with a little cost in recall bias the model is much ...
Presents an improved noise rejection, biased model for linear associative memories by which the recall error can be reduced. P. D. Olivier's (1988) optimal ...
In this paper, a new noise rejection method for linear associative memories is proposed. It is shown that with a little cost in recall bias the model is much ...
Abstract: An associative memory, designed to recall a data vector when presented with the appropriate uncorrupted key vector and to optimally extract the ...
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Linear associative memories with optimal rejection to colored input noise · Computer Science · 1997.
To reduce such noise sensitivity, an approach of designing an optimal-noise-rejection linear associative matrix is presented in this paper. An optimally biased, ...
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An approach to design of linear associative memories for rejection of colored input noise is proposed in the sense of the least mean square error.
Noise sampled vectors {gn} and their counterparts, the zero vectors {fn}, are introduced into the training set to provide the noise rejection property for the ...
The authors present an analytic evaluation of saturation and noise performance for a large class of associative memories based on matrix operations.
Missing: Further | Show results with:Further
We performed a simulation study on the effect of the defocusing operation against shift error as well as additive noise. As shown in Fig. 6, the input character ...