Robotics & Machine Learning Daily News2024,Issue(Jul.1) :64-64.

New Findings in Artificial Intelligence Described from University of California Berkeley (An Integrated-hull Design Assisted By Artificial Intelligence-aided De sign Method)

加州大学伯克利分校的人工智能新发现(人工智能辅助设计方法辅助的综合船体设计)

Robotics & Machine Learning Daily News2024,Issue(Jul.1) :64-64.

New Findings in Artificial Intelligence Described from University of California Berkeley (An Integrated-hull Design Assisted By Artificial Intelligence-aided De sign Method)

加州大学伯克利分校的人工智能新发现(人工智能辅助设计方法辅助的综合船体设计)

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摘要

由机器人与机器学习每日新闻的新闻记者兼工作人员新闻编辑-人工智能的新数据在一份新的报告中呈现。根据NewsRx记者在加州伯克勒的新闻报道,研究表明,“为了减轻综合船舶设计的高成本,在本文中,”我们提出了一种利用人工智能辅助设计技术的创新集成船体设计方法。AIAD方法利用了一个由多个忠诚度数据集构建的深度神经网络模型,以遏制集成导致的设计变量激增导致的数据需求指数增长。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Artificial Intelligence are presented in a new report. According to news reporting originating in Berkel ey, California, by NewsRx journalists, research stated, “To mitigate the high co st of integrated ship design, in this paper, we propose an innovative integrated hull design methodology utilizing artificial intelligence -aided design technol ogy. The AIAD methodology leverages a deep neural network model constructed from multiple fidelities datasets to curtail the exponential growth in data requirem ents resulting from the proliferation of design variables caused by integration. ” Financial support for this research came from China Scholar Council.

Key words

Berkeley/California/United States/Nor th and Central America/Artificial Intelligence/Emerging Technologies/Machine Learning/University of California Berkeley

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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