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91.
基于测绘工程专业认证的大背景和应用型高层次专门人才的需求,学生实践能力的培养被提升到了从未有过新高度,设置完善的实践教学体系迫在眉睫。为了克服"重理论、轻实践"的软人才培养理念,文中结合测绘工程专业认证标准,提出"4+5"模式培养目标,并据此构建"四重螺旋交互上升式"硬实践体系,详细阐述该体系内容构成及体系特色,为实现实践能力的本科全过程新常态培养和应用型高层次专门人才的高品质输送提供依据。 相似文献
92.
The height of a wave at the time of its breaking, as well as the depth of water in which it breaks, are the two basic parameters that are required as input in design exercises involving wave breaking. Currently the designers obtain these values with the help of graphical procedures and empirical equations. An alternative to this in the form of a neural network is presented in this paper. The networks were trained by combining the existing deterministic relations with a random component. The trained network was validated with the help of fresh laboratory observations. The validation results confirmed usefulness of the neural network approach for this application. The predicted breaking height and water depth were more accurate than those obtained traditionally through empirical schemes. Introduction of a random component in network training was found to yield better forecasts in some validation cases. 相似文献
93.
Dong-min Lee 《The Journal of geography》2018,117(5):216-228
This study illuminates the effects of graduate education on primary teachers' awareness of geography. Data were collected through interviews with twenty-one teachers who held M.A. or Ph.D. degrees in geography and analyzed using Straussian-grounded theory. The participants were categorized into four types. Many teachers (type A) showed meaningful refinement in their awareness of geography, and some of them (type B and C) identified themselves as experts in primary geography. However, a few participants (type D) showed only marginal development of their geographic knowledge. These results suggest the potential for improvements to graduate education in primary geography and for primary teachers. 相似文献
94.
This paper assesses variations in quantitative reconstructions of late Holocene relative sea‐level (RSL) change arising from using modern diatom datasets from different spatial scales, applied to case studies from Alaska. We investigate the implications of model choice in transfer functions using local‐, sub‐regional‐ and regional‐scale modern training sets, and produce recommendations on the creation and selection of modern datasets for reconstructing RSL change over Holocene timescales in tidal marsh environments comparable with those in Alaska. We show that regional modern training sets perform best in terms of providing fossil samples with good modern analogues, and in producing reconstructions that most closely match observations, where these are available. Local training sets are frequently insufficient to provide fossil samples with good modern analogues and may over‐estimate the precision of RSL reconstructions. This is particularly apparent when reconstructing RSL change for periods beyond the last century. For reconstructing RSL change we recommend using regional modern training sets enhanced by local samples. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
95.
最优集合预报订正方法在客观温度预报中的应用 总被引:1,自引:0,他引:1
数值模式的直接输出预报在实际应用时常与实况产生一定的偏差,对模式预报进行有效的本地化订正是提高预报准确率的重要手段。以欧洲中期天气预报中心(ECMWF)模式细网格资料,采用最优集合(anolog ensemble,AnEn)预报订正方法对北京市各站1~7 d的日最高气温和日最低气温进行订正,并对相关参数进行了本地化。采用了滑动训练期、优化变量权重两种方案进行训练。检验评估结果表明:(1)滑动训练期采用60 d时能同时保证计算效率和预报准确率;采用最优变量权重方案后,与预报员主观预报准确率对比,AnEn的最低气温优于预报员主观预报,最高气温基本相当;增加训练期的长度(引入多年的历史资料)相比优化变量权重方案能更有效地提高预报准确率。(2)AnEn预报订正方法在改善数值模式预报的固有偏差(如对由数值模式对局地地形、边界层日变化等形成的误差)效果显著,有较好的应用价值;对于因局地天气(如霾、降水、大风等)影响下,AnEn的温度预报准确率虽优于ECMWF,但不如主观预报,未来还有改进空间。还对检验结果进行了时间和空间验证,确保在以后的业务尤其是智能网格预报业务中的运行效果。 相似文献
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要振兴地质工作,为安徽经济发展提供有力的资源保障,关键靠地质人才。本文从分析安徽地质人才队伍现状和地勘单位人才需求出发,认为必须大力发展地质教育,以解决当前地质人才青黄不接的困难,并为此提出了相应的对策和措施。 相似文献
100.