Robotics & Machine Learning Daily News2024,Issue(Jun.11) :24-25.

Study Findings on Intelligent Systems Are Outlined in Reports from Xinjiang Univ ersity (A Collective Neurodynamic Approach To Distributed Resource Allocation Wi th Event-triggered Communication)

新疆大学(基于事件触发通信的分布式资源分配集体神经动力学方法)的报告概述了智能系统的研究成果

Robotics & Machine Learning Daily News2024,Issue(Jun.11) :24-25.

Study Findings on Intelligent Systems Are Outlined in Reports from Xinjiang Univ ersity (A Collective Neurodynamic Approach To Distributed Resource Allocation Wi th Event-triggered Communication)

新疆大学(基于事件触发通信的分布式资源分配集体神经动力学方法)的报告概述了智能系统的研究成果

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摘要

机器人与机器学习每日新闻-一项关于机器学习的新研究-智能系统现在可用。根据NewsRx编辑对中华人民共和国新疆的新闻报道,研究表明,“为了解决分散的最优资源配置问题,”本文提出了一种基于递归神经网络(RNNs)的集体神经动力学方法,多个神经网络协同求解一个全局约束优化问题,其中目标函数是局部非光滑凸函数的总和,受局部凸集和全局等式约束.

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – A new study on Machine Learning - Inte lligent Systems is now available. According to news reporting out of Xinjiang, P eople’s Republic of China, by NewsRx editors, research stated, “To solve a distr ibuted optimal resource allocation problem, a collective neurodynamic approach b ased on recurrent neural networks (RNNs) is proposed in this paper. Multiple RNN s cooperatively solve a global constrained optimization problem in which the obj ective function is a total of local non-smooth convex functions and is subject t o local convex sets and a global equality constraint.”

Key words

Xinjiang/People’s Republic of China/Asia/Intelligent Systems/Machine Learning/Xinjiang University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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