Neural networks with dynamical threshold

C. Campbell and K.Y.M. Wong

Physica A: Statistical Mechanics and its Applications, 1992, vol. 185, issue 1, 378-384

Abstract: For a neural network with sign-constrained weights weights three types of attractor can affect the dynamics: retrieval, spurious and uniform attractors. The uniform attractors can dominate the dynamics if there is a substancial weight-sign bias. We will show that it is possible to define dynamical thresholds for various learning rules which can eliminate uniform attracting states for any value of the weight-sign bias.

Date: 1992
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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:185:y:1992:i:1:p:378-384

DOI: 10.1016/0378-4371(92)90478-9

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