模块化模糊神经网络训练策略研究

为分析模块化模糊神经网络的训练机制,进一步降低其训练复杂度,增强模型的泛化性能,尝试采用部分训练样本对模型进行相对粗训练,并以广西全省1957-2003年连续47 a 5月平均降水量作为实验数据,统计各种参数条件下模型的逐步预测误差情况.结果表明:由部分训练样本参与训练的模型所得测试误差普遍低于由全部训练样本参与训练的模型所得测试误差,证明该方法可行.     

Prediction of breaking waves with neural networks

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.     

The Forest in the Future: A Response to Seeing the Forest for the Trees

Abstract

In this commentary, we highlight some of the strengths of the bibliometric analysis conducted by Qin et al. that examines the relationships between environmental and natural resource sociologies through citation networks, coauthorship, and keyword usage. We also suggest some ways that the analysis could be expanded or built upon, and ideas for further distinct, but related, inquiry. We also reflect on our own identification, training, and mentoring within the two subfields and draw upon responses from a small purposefully selected sample of other early/mid-career environmental and natural resource sociologists to start a conversation about what the relationship between the two fields might look like in the future.     

气象预警预报培训效果影响因素浅析

通过对2021年中国气象局气象干部培训学院湖北分院举办的气象预警预报培训的107名学员进行问卷调查,使用层次分析法对调查数据进行分析,得出学员的学习态度、学习能力、学习意愿、单位领导的支持和培训教师的授课水平是影响气象预警预报培训效果的主要因素。其中,属培训对象的因素有5项,属培训组织的有3项,属培训环境的有2项。在培训教育中应充分调动培训学员的主观能动性,从师资水平和培训设计上提升培训效果,并创造良好的培训环境以保障培训效果。     

WAM机器人辅助上肢康复训练技术应用研究

运用WAM机器人辅助偏瘫上肢进行康复训练，从机器人运动参数和传统医学评估方法两方面分析验证康复训练的有效性.基于WAM机器人搭建实验平台，设计"十"字和"米"字康复训练方式，添加趣味性游戏，招募上肢偏瘫患者跟踪进行康复训练与评估.采集WAM机器人的轨迹和转矩信息，分析康复训练前后轨迹跟踪误差和转矩变化，评价患肢的运动功能，同时由康复医师运用传统评估法Brunnstrom等级分期法进行康复评估.实验结果显示，经过1个月的康复训练，机器人轨迹跟踪误差减小，转矩波动变化趋于平缓，患肢随意运动减少，评估Brunnstrom等级有所提升，且效果优于传统康复训练.研究结果表明WAM机器人辅助康复训练科学合理，康复效果优于传统康复训练方法.     

培养测绘工程专业应用型工程技术人才的实践教学体系构建

阐述了测绘工程专业高级应用型工程技术人才的培养目标及应用型人才的内涵;提出了测绘工程专业高级应用型人才培养的教学体系的构建模式,提出了保证模式建立的具体措施。     

科技人员继续教育的模糊综合评判

应用模糊数学中的综合评判、模糊关系方程、贴近度等方法,对科技人员继续教育中的培训内容、培训方式、培训对象选择以及评估继续教育成绩等方面进行了探讨,为继续教育工作提供数学依据,以促进其深入开展.     

以职业能力为核心的测绘工程专业人才培养模式的改革与实践

从测绘科技的发展、社会的需求及应用型人才的培养等方面,分析了测绘专业人才应具备的能力结构及存在的问题,提出了"一主线、二融合、三统一"的测绘人才培养模式;依据人才培养模式,明确了人才培养目标,构建了以职业能力培养为主线的课程体系和以实践技能培养为核心的实践教学体系,并通过具体实施取得了一定的成效。     

海洋经济研究生教育的兴起与发展

人们对海洋的探索以及对海洋经济的认识和研究,促使海洋经济(专业)教育的兴起。20世纪80年代初期,与"海洋经济"相近方向的研究生教育开始;新世纪以来,明确设立"海洋经济"研究方向的研究生教育得到较快发展。必须积极解决海洋经济的学科性质及其归属、发展定位等限制研究生教育的问题,有关海洋经济科研院所和高校必须大力合作,促进海洋经济学科及其研究生教育的大发展。     

An expanded weighted-averaging model for inferring past total phosphorus concentrations from diatom assemblages in eutrophic British Columbia (Canada) lakes

Eighteen lakes were added to a published training set of 46 British Columbia (BC) lakes in order to expand the original range of total phosphorus (TP) concentrations. Canonical correspondence analysis (CCA) was used to analyze the relationship between diatom assemblages and environmental variables. Specific conductivity and [TP] each explained significant (P0.05) directions of variance in the distribution of the diatoms. The relationship between diatom assemblages and [TP] was sufficiently strong to warrant the development of a weighted-averaging (WA) regression and calibration model that can be used to infer past trophic status from fossil diatom assemblages.The relationship between observed and inferred [TP] was not improved by the addition of more eutrophic lakes, however the [TP] range and the number of taxa used in the transfer function are now superior to the original model. Diatom species assemblages changed very little in lakes with TP concentrations greater than 85 µg 1^–1, so we document the development of a model containing lakes with TP85 µg 1^–1. The updated model uses 59 training lakes and covers a range of species optima from 6 to 41.9 µg 1^–1 TP, and a total of 150 diatom taxa.The updated inference model provided a more realistic reconstruction of the anthropogenic history of a highly eutrophic BC lake. The model can now be used to infer past nutrient conditions in other BC lakes in order to assess changes in trophic status.