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INTRODUCTION TO THE SPECIAL ISSUE ON LEARNING, OPTIMIZATION, AND THEORY OF G-NETWORKS
Probability in the Engineering and Informational Sciences ( IF 1.1 ) Pub Date : 2019-07-29 , DOI: 10.1017/s0269964819000305
Nihal Pekergin

We introduce the special issue on “Learning, Optimization, and the Theory of G-Networks” of the journal Probability in the Engineering and Informational Sciences that appears in 2019. We first outline some of the applications and developments of G-Networks which motivate the ongoing interest for this area, including some areas which could not be covered in this special issue. We then briefly discuss the contributions presented in the ten papers that are published in this special issue in the context of related work.

中文翻译:

G网络学习、优化和理论特刊简介

我们介绍 2019 年出版的 Probability in the Engineering and Informational Sciences 杂志的“Learning, Optimization, and the Theory of G-Networks”特刊。我们首先概述了 G-Networks 的一些应用和发展,这些应用和发展激发了对这一领域的持续关注,包括本特刊无法涵盖的一些领域。然后,我们在相关工作的背景下简要讨论了在本特刊中发表的十篇论文中的贡献。
更新日期:2019-07-29
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