.png){kind=icon}
返回
Construction simulation using parallel computing environments
.png){kind=icon}
PRE
AI
DOI：10.1016/S0926-5805(99)00014-X.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The paper describes and compares alternative approaches to implementing construction simulation models within a multiprocessor computing environment. Both parallel-algorithmic and neural network based methods of simulating construction processes are considered, and compared with the conventional serial-algorithmic approach. The lines along which a simulation algorithm can be divided into tasks for parallel execution on a multiprocessor are first discussed, and the merits of each approach an identified. This is followed by a brief discourse on neural networks, their application to construction simulation. and the way in which such an implementation can be implemented within a multiprocessing environment. The merits and demerits of all approaches are discussed with particular reference to a model of an excavation system. A case study comparing the speed at which each implementation can process a simulation shows the neural approach to operate approximately two orders of magnitude faster than the alternatives. The paper concludes with an indication of future research to be conducted in this field. (C) 2000 Elsevier Science B.V. All rights reserved.
Keyword:
construction simulation
multiprocessor
neural networks
parallel processing
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
11.5
论文数:
6.3K
被引数:
4.2W
机构
暂无机构信息
引用论文
.png){kind=icon}
分享收藏分享收藏
查看更多内容