Results 81 to 90 of about 106,544 (192)

几种方法在粮食总产量预测中的对比

open access: yes, 2010
根据吉林省1978~2007年的农业数据,选定了14个影响农业生产的因素作为研究对象,分别采用了主成分分析法、BP神经网络法、灰色预测法和逐步回归分析法4种分析预测方法,通过SPSS和Matlab工具将原始数据进行处理,得到4种不同的预测模型,进而基于这4种模型对吉林省的粮食产量进行预测,并将各种预测产量和实际产量进行拟合分析。研究结果表明,拟合性最好的是BP神经网络法,其拟合确定性系数为0.899;其次是主成分分析法(拟合确定性系数为0.834)和逐步回归法(拟合确定性系数为0.787 ...
闫敏华, 姚作芳, 杨飞, 刘兴土
core  

Effects of Unconditional Cash Transfers on Asset Accumulation Among Low‐Income Households in Rural Northern Uganda

open access: yesPoverty &Public Policy, Volume 18, Issue 2, June 2026.
ABSTRACT Cash transfers have become an increasingly important social protection tool in development and humanitarian contexts. In developing countries, cash transfers can be used to build economic resilience. This study examines the effects of unconditional cash transfers on asset accumulation among low‐income households in rural Northern Uganda. Using
Simon Peter Nsereko   +2 more
wiley   +1 more source

基于支持向量机回归法的绝缘子污闪电压预测研究

open access: yesDianci bileiqi, 2014
为探讨污闪电压的有效预测方法,采用支持向量机回归方法,建立盐密、灰密与污闪电压的关系模型,对污闪电压进行预测。实例分析表明,其预测结果与实测结果的误差很小,表明支持向量机是一种非常有前景的预测工具。
丁龙   +4 more
doaj  

Intelligent Material Framework for Data Mining and Performance Prediction of Invar Alloy

open access: yesRare Metals, Volume 45, Issue 6, June 2026.
ABSTRACT Invar alloys exhibit a low coefficient of thermal expansion (CTE) over a wide temperature range and are regarded as critical materials for precision engineering and aerospace applications. In this work, an integrated OLR‐IMF (an intelligent material framework based on optical character recognition [OCR], large language models [LLMs], and ...
Tongbo Jiang   +11 more
wiley   +1 more source

基于GEP的四维飞行轨迹预测模型

open access: yes四川大学学报. 自然科学版, 2013
针对传统的空气动力学模型在四维飞行轨迹预测上误差较大的问题,提出了一种基于改进的基因表达式编程(GEP)的预测模型.该模型通过历史飞行时间数据找出飞行位置、高度和过固定点时间的函数对应关系,预测下次飞行过每个固定点的高度和时间,对全程采样固定点的预测实现完整的四维轨迹预测.仿真试验验证了该预测模型更为理想,更加符合实际情形.
杜冬, 麦海波
doaj  

南太平洋热带-副热带区斜压不稳定的多年代际趋势及其机制分析

open access: yesHaiyang yu huzhao
为了探究全球变暖对斜压不稳定的影响,本研究采用1°×1°的温度、盐度和流场格点数据,对1993~2022年南太平洋热带-副热带海区(south Pacific tropical-subtropical,SPTS)表层强化的Charney型斜压不稳定的长期变化趋势及其机制进行了分析。发现南太平洋热带区(south Pacific tropical,SPT)斜压不稳定的增长率表现出显著的减少趋势,每10 a减少0.12%,而南太平洋副热带区(South Pacific Subtropical,SPS ...
刘 丹丹   +3 more
doaj   +1 more source

Dual‐Metal Co‐Doping Strategy Enhances the Hydrogen Dissociation and Hydrogen Release Performance of LiBH4 Assisted by Ensemble Learning

open access: yesRare Metals, Volume 45, Issue 6, June 2026.
ABSTRACT LiBH4 has drawn significant attention due to its high theoretical hydrogen storage capacity of 18.5 wt%, yet its practical application is hindered by the harsh dehydrogenation conditions. This paper proposes a strategy integrating ensemble learning with density functional theory (EL–DFT) for rapidly screening modified LiBH4 systems that ...
Zishan Luo   +11 more
wiley   +1 more source

Changing trends in prenatal screening and treatment of cytomegalovirus infection in France: 7‐year national cohort study (2017–2023)

open access: yesUltrasound in Obstetrics &Gynecology, Volume 67, Issue 6, Page 756-763, June 2026.
ABSTRACT Objectives Cytomegalovirus (CMV) is the leading cause of congenital infectious neurosensory impairment. We aimed to present national epidemiological data on maternal CMV infection during pregnancy in France, focusing in particular on primary infection in the periconceptional period or first trimester, and to assess the impact of changes in ...
P. Coste‐Mazeau   +176 more
wiley   +1 more source

基于CNN-LSTM的断路器合成试验短路电流零点预测技术

open access: yesGaoya dianqi
合成试验是检验大容量断路器短路开断能力的重要试验方法,文中针对合成试验中短路电流预测精度的要求,首先分析了威尔合成回路同步控制的原理,将过零点预测问题等效为时间序列预测问题,据此提出建立CNN-LSTM预测模型拟合短路电流序列,预测过零点。其次,通过某次试验中的短路电流情况建立预测模型,并比较了CNN-LSTM混合网络与单一LSTM网络的预测效果,在此基础之上,将该CNN-LSTM预测模型应用到不同短路电流下T100s及T100a试验中,实验结果显示该模型对于过零时刻的预测误差均≤4 μs ...
王智   +4 more
doaj  

结合预测方法在避雷器带电测试中的应用

open access: yesDianci bileiqi, 2012
MOA在运行电压下通过的电流大小,可反映其绝缘性能或其电阻片的非线性性能的好坏。周期试验的数据无法对MOA的劣化趋势和使用寿命做出可靠量化预测。介绍了将等维新息灰色预测和BP神经网络通过最优加权法进行结合的一种预测方法,并将其应用于避雷器带电测试中对泄漏电流进行预测。MOA的阻性电流预测实例表明了该预测方法的有效性和实用性,为状态检修中其他试验项目的数据分析提供了一种新的思路。
刘凯, 刘方, 刘岩, 江礓
doaj  

Home - About - Disclaimer - Privacy