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您的检索式：作者名="T.Anderson"
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| 1 | Network Support for IP Traceback显示文摘 | S.Savage D.Wetherall A.Karlin T.Anderson | | 0，，03： | 1 |
| 2 | Comparison of RBF and SHL neural network based adaptive control显示文摘 | Ryan T.Anderson | | 0，，： | 1 |
| 3 | 声学海底底质分类——当前实践与未来方向显示文摘利用单波束回声测深仪、多波束回声测深仪和侧扫声纳组合进行海底声学调查,为海洋生境测绘计划提供技术解决方案。我们认为,海底声学分类(ASC)科学正处于萌芽阶段。在ICES(国际海洋物理科学协会)主持下,国际科学家小组对ASC科学进行了全面的回顾。为了支持基于生态系统的海洋管理科学,人们越来越需要跨空间尺度对海洋生态系统进行分类和地图绘制,这一讨论得到了推动。本文重点回顾了海底声学散射理论的各种理论模型,以及这些理论模型的发展历程。在使用客观、可重复的程序进行分类之前,声学信号调节和数据质量保证是重要的技术考虑因素,而方法的标准化只是刚刚开始。本文评述了时间和空间尺度的问题,重点是将观测尺度与自然界的尺度相匹配。总的来说,海底不是静止的,而是自然物理和生物过程共同在多个时间尺度上发生的变化。本文概略介绍了现有商用ASC系统现有能力,回顾了验证(地面真实性)方法,强调了观测尺度与声学背散射数据匹配的难点,探索了超越传统海洋学和渔业调查技术的ASC调查设计方法。最后,在需要国际科学界亟需关注的关键领域,确定了声学海底分类科学的未来方向。 | John T.Anderson D.van Holliday Rudy Kloser 马金凤(翻译) 杨永(校对) 姚会强(校对) | 2020 | 海洋地质2020，，2： | 0 |
| 4 | A historical review of the development of verification and validation theories for simulation models显示文摘Modeling and simulation(M&S)play a critical role in both engineering and basic research processes.Computer-based models have existed since the 1950s,and those early models have given way to the more complex computational and physics-based simula-tions used today.As such,a great deal of research has been done to establish what level of trust should be given to simulation outputs and how to verify and validate the mod-els used in these simulations.This paper presents an overview of the theoretical work done to date defining formal definitions for,and methods of,verification and validation(V&V)of computer models.Simulation models are broken down into three broad cate-gories:analytical and simulation models,computational and physics-based models,and simulations of autonomous systems,and the unique theories and methods developed to address V&V of these models are presented.This paper also presents the current prob-lems in the theoretical field of V&V for models as simulations move from single system models and simulations to more complex simulation tools.In particular,this paper high-lights the lack of agreed-upon methods for V&V of simulations of autonomous systems,such as an autonomous unmanned vehicles,and proposes some next steps needed to address this problem. | Phillip J.Durst Derek T.Anderson Cindy L.Bethel | 2017 | International Journal of Modeling, Simulation, and Scientific Computing2017，8，2： | 0 |
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