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This paper proposes a hybrid solar radiation forecasting method based on a novel game theoretic self-organizing map (GTSOM). New strategies are proposed to resolve the limitations of the original SOM for non-winning neurons and increase their competition with winning neurons to obtain more input patterns. Neural gas (NG) and competitive Hebbian Learning (CHL) are used to enhance the learning and quality...
This paper presents a distributed variational Bayesian (DVBA) algorithm for density estimation and clustering in sensor networks. It is assumed that measurements of the sensors can be statistically modeled by a common Gaussian mixture model. The variational approach allows the simultaneous estimate of the component parameters and the model complexity. The DVBA algorithm produces an estimate of the...
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