نتایج جستجو برای: entropy based optimization

تعداد نتایج: 3171954  

Journal: :Entropy 2017
Stefan Hagmair Martin Bachler Matthias C. Braunisch Georg Lorenz Christoph Schmaderer Anna-Lena Hasenau Lukas von Stülpnagel Axel Bauer Kostantinos D. Rizas Siegfried Wassertheurer Christopher C. Mayer

Heart rate variability (HRV) analysis is a non-invasive tool for assessing cardiac health. Entropy measures quantify the chaotic properties of HRV, but they are sensitive to the choice of their required parameters. Previous studies therefore have performed parameter optimization, targeting solely their particular patient cohort. In contrast, this work aimed to challenge entropy measures with re...

1999
Irina F. Gorodnitsky

Entropy optimization is used in signal compression, coding, estimation, and resource scheduling, among other applications. The paper presents a novel algorithm for entropy optimization. The algorithm is motivated by the efficient interior-point methods developed in Linear Programming. The algorithm uses a Generalized Affine Scaling Transformation that is an extension of the Affine Scaling Trans...

2007
MANUEL LAGUNA ABRAHAM DUARTE RAFAEL MARTÍ

Cross entropy has recently been proposed as a heuristic method for solving combinatorial optimization problems. We briefly review this methodology and then suggest modifications and extensions with the goal of improving its performance. In the context of the well-known max-cut problem, we compare an implementation of the original cross entropy method with our proposed accelerated version. The s...

Journal: :International Journal of Intelligent Systems and Applications 2012

Journal: :journal of medical signals and sensors 0
raheleh kafieh alireza mehridehnavi

in this study, we considered some competitive learning methods which include hard competitive learning (hcl) and soft competitive learning (scl) with/ without fixed network dimensionality for reliability analysis in microarrays. in order to have a more extensive view, and keeping in mind that competitive learning methods aim at error minimization or entropy maximization (different kinds of func...

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