Global-best optimization of ANN trained by PSO using the non-extensive cross-entropy with Gaussian gain

An efficient optimization of network weights has been the primary goal of the artificial neural network (ANN) research community since decades. The aim of every optimization problem is to minimize the network cost which is some form of error function between the desired and the actual network output...

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Veröffentlicht in:Soft computing (Berlin, Germany) Germany), 2020-12, Vol.24 (23), p.18219-18231
Hauptverfasser: Susan, Seba, Ranjan, Rohit, Taluja, Udyant, Rai, Shivang, Agarwal, Pranav
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Sprache:eng
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