ISSN:
1433-3058
Keywords:
Convergence property
;
Error correction capability
;
Multiple valued feedback neural networks
;
Multiple valued and piecewised-constant function
;
Multiple valued recurrent correlation neural networks
Source:
Springer Online Journal Archives 1860-2000
Topics:
Computer Science
,
Mathematics
Notes:
Abstract In this paper we consider two kinds of neural networks in which the activation function of each neuron is a multiple valued, piecewised-constant function. The main advantages of the proposed models are that they can store patterns with different grey levels, and that they can store binary patterns with much fewer neurons than the existing models. We prove theoretically the convergence property of the proposed models. Different synthesis methods are developed to guarantee the storage of desired patterns as asymptotic equilibria. Simulation results confirm the effectiveness of the new models.
Type of Medium:
Electronic Resource
URL:
http://dx.doi.org/10.1007/BF01414649
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