Robotics & Machine Learning Daily News2024,Issue(Jun.4) :39-40.

New Computational Intelligence Study Findings Have Been Reported by a Researcher at Beijing Institute of Petrochemical Technology (Leakage Source Location of Ha zardous Chemicals Based on the Improved Gray Wolf Optimization Algorithm)

北京石化技术研究所的一位研究员报告了新的计算智能研究结果(基于改进的Gray Wolf优化算法的哈扎德斯化学品泄漏源定位)

Robotics & Machine Learning Daily News2024,Issue(Jun.4) :39-40.

New Computational Intelligence Study Findings Have Been Reported by a Researcher at Beijing Institute of Petrochemical Technology (Leakage Source Location of Ha zardous Chemicals Based on the Improved Gray Wolf Optimization Algorithm)

北京石化技术研究所的一位研究员报告了新的计算智能研究结果(基于改进的Gray Wolf优化算法的哈扎德斯化学品泄漏源定位)

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摘要

由一名新闻记者兼机器人与机器学习每日新闻的工作人员新闻编辑-计算智能的新研究是一份新报告的主题。根据《中国人民共和国北京消息》,NewsRx编辑的研究表明:“为了准确确定燃气泄漏事故中泄漏源的位置和强度,本文将扩散模型得到的浓度与传感器测量的浓度进行了比较,提出了一种改进的Gray Wolf泄漏源位置优化算法。”本研究的资助机构包括辽宁省社会科学基金、北京市教育委员会、北京市自然科学基金。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – New research on computational intelligence is the subject of a new report. According to news originating from Beijing, People’s R epublic of China, by NewsRx editors, the research stated, “To accurately determi ne the leakage source location and strength during gas leakage accidents, this s tudy compares the concentration obtained from the diffusion model with that meas ured by the sensor and proposes an improved gray wolf optimization algorithm for leakage source location.” Financial supporters for this research include Social Science Foundation of Beij ing; Beijing Municipal Commission of Education; Natural Science Foundation of Be ijing Municipality.

Key words

Beijing Institute of Petrochemical Techn ology/Beijing/People’s Republic of China/Asia/Algorithms/Chemicals/Computa tional Intelligence/Machine Learning

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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