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Increasing Attraction of Pseudo-Inverse Autoassociative Networks

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Abstract

We show how partial reduction of self-connections of the network designed with the pseudo-inverse learning rule increases the direct attraction radius of the network. Theoretical formula is obtained. Data obtained by simulation are presented.

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Gorodnichy, D.O., Reznik, A.M. Increasing Attraction of Pseudo-Inverse Autoassociative Networks. Neural Processing Letters 5, 51–55 (1997). https://doi.org/10.1023/A:1009614025059

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  • DOI: https://doi.org/10.1023/A:1009614025059

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