Computational Mechanics Workbench
Computational Mechanics Workbench
批准号:
9616764
负责人:
Gerald Sussman
金额:
$0.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1996
资助国家:
美国
项目状态:
已结题
起止时间:
1996-10-01 至 1998-09-30
中文摘要
9616764 Sussman, Gerald J.本研究的目标是为大规模数值数据集的智能分析和解释创建架构和算法基础。其目的是提供技术来降低具体工程问题分析的复杂性,同时将这些具体问题作为重点来发展推进人工智能前沿的一般原则。智能数据解释程序必须利用视觉识别和符号抽象能力。对人类的视觉系统来说,跟踪多种相互作用、变形的物体可能太费力了。赋予我们的计算机绘制自己看到的图片的能力,并使用它们所看到的来指导自己未来的行动,这既是必要的,也是令人兴奋的。将“推理与图像”与符号计算相结合的人工智能程序已被用于解决几个应用领域的问题,如动力系统分析、控制器设计、机构运动学。这种范例有望成为未来工程分析和设计环境的组成部分。将为流体动力学家提供一个计算环境,以有效地从模拟或实验湍流数据中提取结构和分离相互作用模式,并对结构相互作用进行控制实验。目标是:(1)将CFD数据的后处理时间缩短一到两个数量级;(2)提供用于汇总和比较的数据符号描述;(3)开发符号和几何技术来编码连贯结构、它们的演化和相互作用规则。***
英文摘要
9616764 Sussman, Gerald J. The goal of this research is to create the architectural and algorithmic foundations for intelligent analysis and interpretation of massive numerical datasets. The aim is to provide the technology to reduce the complexity in the analysis of specific engineering problems, and at the same time use these specific problems as a focus to develop general principles that advance the frontiers of Artificial Intelligence. Smart data interpretation programs must exploit visual recognition and symbolic abstraction capabilities. Tracking a multiplicity of interacting, deforming objects might well be too taxing for the human visual system. It is both necessary and exciting to endow our computers with the capability to draw pictures for themselves to see and use what they saw to guide their own future actions. AI programs that integrate 'reasoning with images" with symbolic computations have been implemented to solve problems in several applications areas, such as dynamical system analysis, controller design, mechanism kinematics. This paradigm can be expected to be integral part of future engineering analysis and design environments. A computational environment will be provided for fluid dynamicists to efficiently extract structures and isolate interaction patterns form simulated or experimental turbulence data, and to perform control experiments on structure interactions. The objectives are : (1) to cut post-processing time of CFD data by one to two order of magnitude, (2) to provide symbolic descriptions of data for summarization and comparison, and (3) to develop symbolic and geometric techniques to encode coherent structures, their evolution, and interactions rules. ***
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专著(0)
科研奖励(0)
会议论文
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批准号:1116294
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项目类别:Standard Grant
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资助金额:$20.0万
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依托单位:
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资助金额:$10.0万
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负责人:Gerald Sussman
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依托单位:
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负责人:Gerald Sussman
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依托单位:
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项目类别:Standard Grant
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资助金额:$0.0万
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财政年份:1977
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负责人:Gerald Sussman
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依托单位:
国内基金
海外基金
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资助金额:24.0万元
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批准年份:2012
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依托单位: