Results 51 to 60 of about 11,487 (162)
Research on Optimization of Neural Network Model By Improved PSO Algorithm and Its Application [PDF]
, 2014 在水文学科领域中，准确的预报问题是防灾减灾的重要研究课题之一。近年来，由于全球气候的变化和人类活动的影响，全国的气象灾害越来越严重，而且持续的时间比较长和影响的范围也越来越大，我国国民经济的发展受到了严重地影响。如何对现有水文资料的分析和研究并找到其变化的规律是非常必要和重要的。近年来，国内外研究者已成功的将神经网络(NeuralNetworks,NNS)方法应用在大气学科预测建模等各个复杂领域。但目前还没有找到确定优化神经网络的各个参数的定量方法，其中采用最多的是BP神经网络 ...
蒋林利
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Infant Mental Health Journal: Infancy and Early Childhood, Volume 45, Issue 4, Page 449-463, July 2024.Abstract The present study validated a newly developed easy‐to‐use observational instrument, the Health Environment Rating Scale‐Early Childhood Consultation‐Classroom version (HERS‐ECC‐C), to measure the quality of the classroom environment within early care and education centers participating in a mental health consultation program in a diverse area ...
Jenna Futterer +9 more
wiley +1 more source
Shuitu Baochi Xuebao, 2007 土壤剖面含水量的预测对于灌溉、防治水土流失、改善生态环境等一系列环境过程具有重要意义。根据每天测量红壤不同层次含水量,利用时间序列分析方法,依据表层10cm含水量序列预测20cm,30cm,40cm和60cm土层含水量。结果表明,各不同土层含水量之间呈极显著性相关;利用分布滞后模型根据10cm土层含水量预报各深层土壤含水量,模型的滞后时间随着被预报土层深度的增加而增加,预报模型相对误差不超过6%,最大相对误差不超过10%。10 cm土层含水量分别联合20 cm,30 cm,40 cm和60 ...
张丽丽 +4 more
doaj
基于BiLSTM-Attention的F10.7指数预测模型与中国自主数据集的应用
Kongjian kexue xuebaoF10.7指数是太阳活动的重要指标, 准确预测F10.7指数有助于预防和缓解太阳活动对无线电通信、导航和卫星通信等领域的影响. 基于F10.7射电流量的特性, 在双向长短时记忆网络(Bidirectional Long Short-Term Memory Network, BiLSTM)基础上融入注意力机制(Attention), 提出了一种基于BiLSTM-Attention的F10.7预报模型.
闫 帅楠 +9 more
doaj +1 more source
Infant Mental Health Journal: Infancy and Early Childhood, Volume 45, Issue 2, Page 234-246, March 2024.Abstract Improving parental sensitivity is an important objective of interventions to support families. This study examined reliability and validity of parental sensitivity ratings using a novel package of an e‐learning tool and an interactive decision tree provided through a mobile application, called the OK! package.
Mirte L. Forrer +3 more
wiley +1 more source
Robust recursive algorithm for real-time co-correction model [PDF]
, 2008 利用遥测系统实时监测水情资料,由于遥测系统自身的原因以及水文要素测量的具体要求,数据常常携带异常误差.采用有异常误差的实测流量资料对实时校正模型进行参数辨识,要求算法既能抵御异常误差的影响,又具有较强的实时跟踪能力,以适应实时洪水预报的要求.在递推最小二乘算法的基础上,引入抗差理论,削弱异常值对参数估计的影响;引入遗忘因子,实时跟踪模型时变参数的变化.计算实例表明,带有遗忘因子的抗差递推最小二乘算法对异常误差不敏感,又具有较强的实时跟踪能力.Data observed by telemetric ...
张珞平, 洪华生, 赵超
core +3 more sources
Shuitu Baochi Xuebao, 2022 C因子作为土壤侵蚀预报模型中人为可控制的一个重要的因子,对减少土壤侵蚀和控制水土流失有很大的影响。因此以黄土高原坡耕地典型作物玉米为研究对象,通过进行人工降雨模拟试验,研究了玉米5个不同生育期近地表状况的变化特征,根据玉米不同生育期产沙量计算C值。结果表明,植被覆盖度、株高和结皮厚度均随着玉米生育期的延长而逐渐增加,地表粗糙度随着生育期延长呈现先减小后增加的趋势。产沙量随着玉米的生长逐渐减小,减沙效益随着玉米生育期的延长不断增加。在前人以植被覆盖度计算C值模型的基础上,以植被覆盖度作为关键因子,将株高 ...
余倩
doaj
, 2008 The basic features of decision support system (DSS) for the Three Gorges Reservoir operation is briefly introduced. Based on the hydrology and sediment information system used in the Three Gorges Project and the river network upward the project, the DSS ...
Chen, J, Dai, H, He, W
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A New Method to Estimate the Cover Management Factor on the Loess Plateau in China [PDF]
[Objective] To investigate the combined effect of crop cover and crop management practices on preventing soil loss and improving the accuracy of C-factor estimation. [Methods] Six millet plots with different treatments, i.
LI Qinglan +4 more
core +1 more source
Psychometrics of psychosocial behavior items under age 6 years: Evidence from Nebraska, USA
Infant Mental Health Journal: Infancy and Early Childhood, Volume 45, Issue 1, Page 56-78, January 2024.Abstract Because healthy psychosocial development in the first years of life is critical to lifelong well‐being, governmental, and nongovernmental organizations are increasingly interested in monitoring psychosocial behaviors among populations of children.
Marcus R. Waldman +9 more
wiley +1 more source