期刊文献+
共找到3,367篇文章
< 1 2 169 >
每页显示 20 50 100
Big Model Strategy for Bridge Structural Health Monitoring Based on Data-Driven, Adaptive Method and Convolutional Neural Network (CNN) Group 被引量:2
1
作者 Yadong Xu Weixing Hong +3 位作者 Mohammad Noori Wael A.Altabey Ahmed Silik Nabeel S.D.Farhan 《Structural Durability & Health Monitoring》 EI 2024年第6期763-783,共21页
This study introduces an innovative“Big Model”strategy to enhance Bridge Structural Health Monitoring(SHM)using a Convolutional Neural Network(CNN),time-frequency analysis,and fine element analysis.Leveraging ensemb... This study introduces an innovative“Big Model”strategy to enhance Bridge Structural Health Monitoring(SHM)using a Convolutional Neural Network(CNN),time-frequency analysis,and fine element analysis.Leveraging ensemble methods,collaborative learning,and distributed computing,the approach effectively manages the complexity and scale of large-scale bridge data.The CNN employs transfer learning,fine-tuning,and continuous monitoring to optimize models for adaptive and accurate structural health assessments,focusing on extracting meaningful features through time-frequency analysis.By integrating Finite Element Analysis,time-frequency analysis,and CNNs,the strategy provides a comprehensive understanding of bridge health.Utilizing diverse sensor data,sophisticated feature extraction,and advanced CNN architecture,the model is optimized through rigorous preprocessing and hyperparameter tuning.This approach significantly enhances the ability to make accurate predictions,monitor structural health,and support proactive maintenance practices,thereby ensuring the safety and longevity of critical infrastructure. 展开更多
关键词 Structural Health Monitoring(SHM) BRIDGES big model Convolutional Neural Network(CNN) Finite Element Method(FEM)
在线阅读 下载PDF
The Interdisciplinary Research of Big Data and Wireless Channel: A Cluster-Nuclei Based Channel Model 被引量:27
2
作者 Jianhua Zhang 《China Communications》 SCIE CSCD 2016年第S2期14-26,共13页
Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big... Recently,internet stimulates the explosive progress of knowledge discovery in big volume data resource,to dig the valuable and hidden rules by computing.Simultaneously,the wireless channel measurement data reveals big volume feature,considering the massive antennas,huge bandwidth and versatile application scenarios.This article firstly presents a comprehensive survey of channel measurement and modeling research for mobile communication,especially for 5th Generation(5G) and beyond.Considering the big data research progress,then a cluster-nuclei based model is proposed,which takes advantages of both the stochastical model and deterministic model.The novel model has low complexity with the limited number of cluster-nuclei while the cluster-nuclei has the physical mapping to real propagation objects.Combining the channel properties variation principles with antenna size,frequency,mobility and scenario dug from the channel data,the proposed model can be expanded in versatile application to support future mobile research. 展开更多
关键词 channel model big data 5G massive MIMO machine learning CLUSTER
在线阅读 下载PDF
The Big Five Model in Relation to Job Performance:A New Look at Organizational Psychology 被引量:1
3
作者 Bafetis Alexandros Michael Galanakis 《Psychology Research》 2023年第1期1-8,共8页
The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personali... The Big Five Theory is often regarded as psychology’s most influential personality theoretical approach.The goal of this study is to examine the role of the Big Five Theory in the workplace,especially which personality qualities are more likely to predict work success.Which traits should companies emphasize throughout the hiring and selection processes?How can businesses use the Big Five personality model to locate employees that are more productive,efficient,and devoted to the organization’s goals?A detailed assessment of existing recent research addresses the aforementioned issues.Following a review of many current articles on the subject,it was established that using this model had a positive influence on individual and group performance,working relationships,manager work performance,and workplace innovation. 展开更多
关键词 organizational psychology PERSONALITY big Five model job performance
在线阅读 下载PDF
Why the Big Bang Model Cannot Describe the Observed Universe Having Pressure and Radiation 被引量:2
4
作者 Abhas Mitra 《Journal of Modern Physics》 2011年第12期1436-1442,共7页
It has been recently shown that, since in general relativity (GR), given one time label t, one can choose any other time label t → t*= f(t), the pressure of a homogeneous and isotropic fluid is intrinsically zero (Mi... It has been recently shown that, since in general relativity (GR), given one time label t, one can choose any other time label t → t*= f(t), the pressure of a homogeneous and isotropic fluid is intrinsically zero (Mitra, Astrophys. Sp. Sc. 333, 351, 2011). Here we explore the physical reasons for the inevitability of this mathematical result. The essential reason is that the Weyl Postulate assumes that the test particles in a homogeneous and isotropic spacetime undergo pure geodesic motion without any collisions amongst themselves. Such an assumed absence of collisions corresponds to the absence of any intrinsic pressure. Accordingly, the “Big Bang Model” (BBM) which assumes that the cosmic fluid is not only continuous but also homogeneous and isotropic intrinsically corresponds to zero pressure and hence zero temperature. It can be seen that this result also follows from the relevant general relativistic first law of thermodynamics (Mitra, Found. Phys. 41, 1454, 2011). Therefore, the ideal BBM cannot describe the physical universe having pressure, temperature and radiation. Consequently, the physical universe may comprise matter distributed in discrete non-continuous lumpy fashion (as observed) rather than in the form of a homogeneous continuous fluid. The intrinsic absence of pressure in the “Big Bang Model” also rules out the concept of a “Dark Energy”. 展开更多
关键词 General RELATIVITY big Bang model Dark Energy COSMOLOGY Fractal UNIVERSE
暂未订购
Data Modeling and Data Analytics: A Survey from a Big Data Perspective 被引量:1
5
作者 André Ribeiro Afonso Silva Alberto Rodrigues da Silva 《Journal of Software Engineering and Applications》 2015年第12期617-634,共18页
These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or... These last years we have been witnessing a tremendous growth in the volume and availability of data. This fact results primarily from the emergence of a multitude of sources (e.g. computers, mobile devices, sensors or social networks) that are continuously producing either structured, semi-structured or unstructured data. Database Management Systems and Data Warehouses are no longer the only technologies used to store and analyze datasets, namely due to the volume and complex structure of nowadays data that degrade their performance and scalability. Big Data is one of the recent challenges, since it implies new requirements in terms of data storage, processing and visualization. Despite that, analyzing properly Big Data can constitute great advantages because it allows discovering patterns and correlations in datasets. Users can use this processed information to gain deeper insights and to get business advantages. Thus, data modeling and data analytics are evolved in a way that we are able to process huge amounts of data without compromising performance and availability, but instead by “relaxing” the usual ACID properties. This paper provides a broad view and discussion of the current state of this subject with a particular focus on data modeling and data analytics, describing and clarifying the main differences between the three main approaches in what concerns these aspects, namely: operational databases, decision support databases and Big Data technologies. 展开更多
关键词 DATA modelING DATA ANALYTICS modelING LANGUAGE big DATA
暂未订购
A New Efficient Obstacle Avoidance Control Method for Cars Based on Big Data and Just-in-Time Modeling 被引量:1
6
作者 Tatsuya Kai 《Journal of Computer and Communications》 2018年第11期12-22,共11页
This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used... This paper provides a new obstacle avoidance control method for cars based on big data and just-in-time modeling. Just-in-time modeling is a new kind of data-driven control technique in the age of big data and is used in various real systems. The main property of the proposed method is that a gain and a control time which are parameters in the control input to avoid an encountered obstacle are computed from a database which includes a lot of driving data in various situations. Especially, the important advantage of the method is small computation time, and hence it realizes real-time obstacle avoidance control for cars. From some numerical simulations, it is showed that the new control method can make the car avoid various obstacles efficiently in comparison with the previous method. 展开更多
关键词 big Data JUST-IN-TIME modelING CARS OBSTACLE AVOIDANCE Control
暂未订购
A New Model of China-US Big Power Relations: A Symbolic Sign in Foreign Affairs
7
作者 Siyuan Huang 《International Relations and Diplomacy》 2016年第6期371-377,共7页
To cope with the current crisis and tensions full-filled China-US relationship, Chinese President Xi Jinping put forward the concept of building a new model of China-US big power relations, which the US agrees. Yet th... To cope with the current crisis and tensions full-filled China-US relationship, Chinese President Xi Jinping put forward the concept of building a new model of China-US big power relations, which the US agrees. Yet the new model won a heated discussion. In China this new model was evaluated positively and optimistically, while in the US it was perceived as a strategic challenge or even a threat. In the present article, the author proposes that this new model of China-US big power relations is more like a symbolic sign in foreign affairs rather than a strategic challenge or a threat or an effective and workable mechanism at this moment, and meanwhile analyses this view from diachronic and semiotic perspectives. The analyses reveal that the new model functions as a symbolic sign, signifying to the world that conceptually the two big powers have a good and harmonious relationship. 展开更多
关键词 a new model of China-US big power relations a symbolic sign diachronic perspective semioticperspective
在线阅读 下载PDF
Big Data in Chinese Government Governance: Analysis of Decision-Making Model Innovation and Practice
8
作者 Peng Wang Bin Lu 《Journal of Computer and Communications》 2018年第12期129-142,共14页
The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more cha... The 19th National Congress of the Communist Party of China has put forward higher requirements for Chinese government governance. The government governance has developed to a higher stage. Meanwhile, it faces more challenges, like lack of top-level design and information sharing. To develop a government governance decision-making innovation model, we should make good use of big data to mine in the grassroots government data management network. Both the characteristics of the times and the experience of the practice have proven that big data can empower government governance and promote the construction of a service-oriented government. 展开更多
关键词 big Data GOVERNMENT GOVERNANCE model INNOVATION
在线阅读 下载PDF
Evaluation of Nutrient Components and Nutritive Quality of Larimichthys crocea(Big Yellow Croaker)in Different Aquaculture Models
9
作者 Zhong Aihua Chu Zhangjie +1 位作者 Dai Luyi Wang Xiaojun 《Animal Husbandry and Feed Science》 CAS 2014年第6期296-299,318,共5页
To ascertain the nutrient components and nutritive quality of the flesh of big yellow croaker in three culture conditions ( traditional cage, offshore cage and cage-free), basic nutritional components,amino acid,fat... To ascertain the nutrient components and nutritive quality of the flesh of big yellow croaker in three culture conditions ( traditional cage, offshore cage and cage-free), basic nutritional components,amino acid,fatty acid and mineral elements were determined. The results indicated that crude protein in flesh of the big yellow croaker in cage-free culture was higher than that in offshore cage and much higher than that in traditional cage ( P 〈0.05). Crude fat of the croaker cul- tured in the traditional cage was twice as high as that in cage-free culture, while that in the offshore cage was in the middle. Proline content in the cage-free culture was much higher than that in the offshore cage, and also than that in the traditional cage (P 〈 0.05 ). There was no significant difference in the content of alanine, methionine and tryptophan ( P 〈 0.05). Contents of other amino acids had no significant difference between the cage-free culture and offshore cage, but were much lower in the traditional cage (P 〈 0.05 ). Top six fatty acids were 9-Hexadecenoic acid, palmitic acid,9-Octadecenoic acid, Octadecauoic acid, DHA and EPA. The palmitic acid content was the highest in cage-free culture and in traditional cage, 9-Octadeeenoic acid content was the highest in offshore cage. Content of unsaturat- ed fatty acids in cage-free culture, offshore cage and traditional cage was 63.60,66.32,57.67, respectively, and polyunsaturated fatty acid was 29.10, 28.57, and 24.40. Content of DHA in cage-free culture was significantly higher than that in the offshore and traditional cage. Content of zinc had no significant difference in three culture models. Content of phosphorus had no significant difference between that in cage-free culture and offshore cage, was lower in the traditional cage. The cage-free cultured croakers had the highest content of calcium and phosphorus. Content of selenium was about the same between the offshore cage and the traditional cage stocking, higher in the cage-free culture. This research has considerable application value for identifying quality and sources of the big yellow croakers. 展开更多
关键词 Culture model Larimichthys crocea big yellow croaker) Fish nutrient Quality evaluation
在线阅读 下载PDF
World-Universe Model—Alternative to Big Bang Model 被引量:1
10
作者 Vladimir S. Netchitailo 《Journal of High Energy Physics, Gravitation and Cosmology》 2020年第1期133-158,共26页
This manuscript provides a comparison of the Hypersphere World-Universe Model (WUM) with the prevailing Big Bang Model (BBM) of the Standard Cosmology. The performed analysis of BBM shows that the Four Pillars of the ... This manuscript provides a comparison of the Hypersphere World-Universe Model (WUM) with the prevailing Big Bang Model (BBM) of the Standard Cosmology. The performed analysis of BBM shows that the Four Pillars of the Standard Cosmology are model-dependent and not strong enough to support the model. The angular momentum problem is one of the most critical problems in BBM. Standard Cosmology cannot explain how Galaxies and Extra Solar systems obtained their substantial orbital and rotational angular momenta, and why the orbital momentum of Jupiter is considerably larger than the rotational momentum of the Sun. WUM is the only cosmological model in existence that is consistent with the Law of Conservation of Angular Momentum. To be consistent with this Fundamental Law, WUM discusses in detail the Beginning of the World. The Model introduces Dark Epoch (spanning from the Beginning of the World for 0.4 billion years) when only Dark Matter Particles (DMPs) existed, and Luminous Epoch (ever since for 13.8 billion years). Big Bang discussed in Standard Cosmology is, in our view, transition from Dark Epoch to Luminous Epoch due to Rotational Fission of Overspinning Dark Matter (DM) Supercluster’s Cores. WUM envisions Matter carried from the Universe into the World from the fourth spatial dimension by DMPs. Ordinary Matter is a byproduct of DM annihilation. WUM solves a number of physical problems in contemporary Cosmology and Astrophysics through DMPs and their interactions: Angular Momentum problem in birth and subsequent evolution of Galaxies and Extrasolar systems—how do they obtain it;Fermi Bubbles—two large structures in gamma-rays and X-rays above and below Galactic center;Diversity of Gravitationally-Rounded Objects in Solar system;some problems in Solar and Geophysics [1]. WUM reveals Inter-Connectivity of Primary Cosmological Parameters and calculates their values, which are in good agreement with the latest results of their measurements. 展开更多
关键词 big Bang model Four Pillars of Standard Cosmology ANGULAR MOMENTUM Problem Black Holes Hypersphere World-Universe model Multicomponent DARK MATTER Macroobjects Structure Law of Conservation of ANGULAR MOMENTUM Medium of the World Inter-Connectivity of Primary Cosmological Parameters The Beginning of the World DARK EPOCH Rotational Fission Luminous EPOCH Macroobject Shell model DARK MATTER Core Gravitational Burst Intergalactic Plasma Microwave Background Radiation Far-Infrared Background Radiation Emergent Phenomena CODATA
在线阅读 下载PDF
基于元胞自动机模型的松材线虫病小班尺度预测
11
作者 周宏威 李永正 +5 位作者 郭文辉 陈怡帆 胡浩昌 张思岩 崔迪 陈雨茉 《林业科学》 北大核心 2026年第1期133-143,共11页
【目的】为探究影响松材线虫病传播扩散的主要影响因素,结合自然气候、人类活动以及地理空间特征多源数据,围绕松材线虫病“传入-定殖-扩散”的生态入侵过程,构建适用于更小空间尺度数据的传播预测模型,实现对松材线虫病高风险发生地区... 【目的】为探究影响松材线虫病传播扩散的主要影响因素,结合自然气候、人类活动以及地理空间特征多源数据,围绕松材线虫病“传入-定殖-扩散”的生态入侵过程,构建适用于更小空间尺度数据的传播预测模型,实现对松材线虫病高风险发生地区的精准预测和早期预警。【方法】基于国家林业和草原局公布的江苏省松材线虫病小班本底发生数据,结合松材线虫病的生态特性和地理空间分布规律,选取包含自然气候、人类活动因素以及空间特征等25项影响因子数据,采用主成分分析方法进行数据预处理,通过Spearman相关性分析方法和Apriori数据挖掘算法,探究各影响因子与松材线虫病发生之间的相互作用关系。结合贝叶斯估计方法对影响因子数据进行特征增强,建立灰狼优化算法-元胞自动机模型模拟松材线虫病的传播扩散过程,同时与其他5种主流机器学习模型预测结果进行横向对比验证,通过计算其精确率、召回率和AUC等评价指标对模型性能进行验证。【结果】构建的灰狼优化算法-元胞自动机模型在松材线虫病新发小班预测中表现出优异的性能,模型召回率达到78.5%,显著优于其他5种主流机器学习模型;同时,其AUC值达到89.0%,表明模型在识别新发疫情点位的同时,兼顾较高的整体预测准确性与判别能力。本研究进一步证实地理空间特征在松材线虫病传播预测中的重要性,并验证元胞自动机模型在处理复杂时空数据和更精细尺度空间数据预测方面的高度适用性。【结论】木材运输是驱动松材线虫病传播扩散的关键因素,而温度与降水的差异也在显著程度上影响其发生风险。作为一种融合空间异质性与时间动态特征的建模方法,元胞自动机模型在处理复杂生态数据与入侵物种风险评估方面展现出较高的适用性与灵活性,可为松材线虫病的精准防控与高效管理提供有力的技术支撑。 展开更多
关键词 松材线虫病 传播预测模型 大数据 数据挖掘 元胞自动机
在线阅读 下载PDF
谁更像“人”?模型类型与人格设定对大语言模型复刻传播学实验准确率的影响
12
作者 曾秀芹 陈珂璐 《新闻与传播评论》 北大核心 2026年第1期25-39,共15页
以ChatGPT-4o、DeepSeek-R1、豆包-1.5、Kimi-K1.5四种主流大语言模型为对象,采用2(有vs.无大五人格设定)×4(模型类型)实验设计,构建虚拟被试资料以复刻新闻传播学实验。结果显示,各模型拟合表现存在差异:DeepSeek-R1在模拟真人平... 以ChatGPT-4o、DeepSeek-R1、豆包-1.5、Kimi-K1.5四种主流大语言模型为对象,采用2(有vs.无大五人格设定)×4(模型类型)实验设计,构建虚拟被试资料以复刻新闻传播学实验。结果显示,各模型拟合表现存在差异:DeepSeek-R1在模拟真人平均趋势与行为变异性方面最优;ChatGPT-4o的总体方差拟合偏差较大,但主效应、间接效应复刻的准确性与稳定性较为突出。人格设定的影响方面,无大五人格组描述性统计更贴近真人,而有大五人格组因果效应复刻更稳定,唯一完整复刻两个主效应的模型即来自该组。中介效应复刻成功率偏低,但人格设定可在一定程度上缓解模型输出的方向与效应偏离趋势。此外,研究基于ChatGPT-4o进一步发现,实验对象类型(真人组vs.无大五人格组vs.有部分大五人格组vs.有全部大五人格组)对主效应与中介机制部分产生显著调节作用,其中大五人格设定可一定程度抑制模型极端响应。研究实现多模型横向比较与人格设定控制下的复刻实验,验证了大五人格设定对提升模型模拟精度的积极作用,同时指出模型复刻复杂心理机制的局限性,推动传播学实验向“人机共演”的新范式转变,也拓展“媒介即延伸”在智能传播语境下的现实外延。 展开更多
关键词 大语言模型 大五人格 复刻研究 硅基被试
在线阅读 下载PDF
大数据背景下研究性教学模式的探究与实践——以“食品营养学”为例
13
作者 李宁 李天歌 +4 位作者 宋莲军 高晓平 李倩 乔明武 黄现青 《农产品加工》 2026年第1期135-138,共4页
探讨了大数据背景下研究性教学模式在“食品营养学”课程中的应用与实践。首先,分析了传统教学模式存在的问题,如教学理念落后、教学资源配置不足等。随后,介绍了大数据技术在教育领域的广泛应用及其对营养健康领域带来的变革,为研究性... 探讨了大数据背景下研究性教学模式在“食品营养学”课程中的应用与实践。首先,分析了传统教学模式存在的问题,如教学理念落后、教学资源配置不足等。随后,介绍了大数据技术在教育领域的广泛应用及其对营养健康领域带来的变革,为研究性教学模式的引入提供了背景支持。在“食品营养学”课程中,通过采用研究性教学模式,激发学生的学习兴趣,培养其主动学习和综合分析能力。具体实施方式包括确定研究性学习问题、学生分组选题、查阅资料、学习讨论、信息梳理、分析简答问题、撰写论文及制作PPT进行答辩等。同时,借助大数据技术,实现了对学生学习过程的精准跟踪和反馈,优化了教学效果。最后,总结了研究性教学模式在“食品营养学”课程中的实践成果,包括学生创新能力的提升、学习成绩的提高及教师教学能力的增强等。 展开更多
关键词 大数据 研究性教学 教学模式 食品营养学
在线阅读 下载PDF
大数据分析在公路预防性养护行业中的应用研究
14
作者 王华 《科技创新与生产力》 2026年第1期38-40,共3页
在公路预防性养护中应用大数据分析,通过数据处理和分析技术提高公路养护工作的效率、准确性和科学性。首先对公路预防性养护进行了概述,其次对大数据分析在公路预防性养护中的应用价值进行了分析,最后提出了大数据分析在公路预防性养... 在公路预防性养护中应用大数据分析,通过数据处理和分析技术提高公路养护工作的效率、准确性和科学性。首先对公路预防性养护进行了概述,其次对大数据分析在公路预防性养护中的应用价值进行了分析,最后提出了大数据分析在公路预防性养护行业中的应用策略,希望为公路的科学、智慧养护提供参考价值。 展开更多
关键词 大数据分析 公路养护 模型 应用
在线阅读 下载PDF
生成式人工智能赋能职业教育大模型建设:功能逻辑与路径策略
15
作者 谢青松 白然 郭冬梅 《职业技术教育》 北大核心 2026年第1期59-66,共8页
生成式人工智能的全球兴起与应用推动着职业教育体系和职业技能人才培养结构的深层变革。生成式人工智能的强大数据分析与处理能力对职业教育专业设置和就业面向岗位产生直接影响,驱动职业教育核心要素重组与生态演进,重塑职业教育技能... 生成式人工智能的全球兴起与应用推动着职业教育体系和职业技能人才培养结构的深层变革。生成式人工智能的强大数据分析与处理能力对职业教育专业设置和就业面向岗位产生直接影响,驱动职业教育核心要素重组与生态演进,重塑职业教育技能人才培养范式。基于设计研究范式,构建职业教育大模型的路径框架,具体包括需求对齐、数据工程、模型选型、场景微调、落地闭环等五个步骤。职业教育大模型的具体建设策略是:加强顶层设计与政策规划,优化资源整合与共享;聚焦数据治理与成效监测,立足服务师生教学与实践;重视全面推广与具体落地实施,保持持续优化与改进。 展开更多
关键词 生成式人工智能 职业教育 大模型 教育强国 大数据
在线阅读 下载PDF
卫生资源优化的大数据分析方法
16
作者 陈晶 《计算机应用文摘》 2026年第2期177-179,共3页
文章探讨了大数据分析在卫生资源优化中的应用方法与框架。针对卫生资源配置中存在的区域不均衡、结构性矛盾及利用效率偏低等问题,构建了一个整合多源数据、融合预测模型与优化算法的综合分析模型。通过引入数据治理机制保障数据安全... 文章探讨了大数据分析在卫生资源优化中的应用方法与框架。针对卫生资源配置中存在的区域不均衡、结构性矛盾及利用效率偏低等问题,构建了一个整合多源数据、融合预测模型与优化算法的综合分析模型。通过引入数据治理机制保障数据安全与质量,并采用集成学习等先进预测技术提升卫生资源需求预判的精准性,该模型能够支持实现动态、精准的资源调配与布局优化。研究表明,基于大数据的资源优化策略可显著提升资源配置的公平性、动态适应性与整体使用效率,为公共卫生体系在常态与应急状态下的资源管理提供系统化的决策支持。 展开更多
关键词 大数据分析 卫生资源 优化模型 资源配置 数据挖掘
在线阅读 下载PDF
基于区域医疗大数据的居民健康分级评价模型的构建与验证
17
作者 朱文迪 陈华 +3 位作者 王亚琳 段熠 孙玉梅 孙宏玉 《军事护理》 北大核心 2026年第1期10-14,共5页
目的构建科学、可操作的居民健康评价指标体系及分级评价模型。方法通过专家函询构建居民健康评价指标体系并采用层次分析法确定指标权重,进而以评价体系的健康指标值为输入、健康分级为输出,采用反向传播神经网络算法建立居民健康分级... 目的构建科学、可操作的居民健康评价指标体系及分级评价模型。方法通过专家函询构建居民健康评价指标体系并采用层次分析法确定指标权重,进而以评价体系的健康指标值为输入、健康分级为输出,采用反向传播神经网络算法建立居民健康分级评价模型并验证。结果2轮函询专家积极程度均为100.00%,专家权威系数均为0.89,条目重要性评分均值分别为3.90~5.00、4.00~5.00,变异系数分别为0.00~0.34、0.00~0.28,肯德尔协调系数分别为0.202、0.289,最终形成的指标体系由5个一级指标、14个二级指标、25个三级指标构成;居民健康分级评价模型在训练集和验证集的总体准确率为98.54%和91.63%,验证集模型曲线下面积分别为0.995、0.975、0.965、0.982、0.998。结论本研究构建的指标体系涵盖居民健康的关键影响要素,健康分级评价模型具有良好区分度,可实现对居民健康状况的客观量化评价。 展开更多
关键词 健康状况 大数据 神经网络模型
暂未订购
数控机床BIG-PLUS工具系统的动态特性研究
18
作者 卢端敏 周秦源 +2 位作者 侯德政 陈益林 李秀兰 《机床与液压》 北大核心 2011年第13期103-105,共3页
以有限元分析与模态分析理论为基础,建立基于UG-NX5造型软件平台的BIG-PLUS工具系统三维几何模型,并根据实际工况建立有限元模型,利用ANSYS软件对施加有位移约束的有限元模型进行了前四阶模态分析,得出固有频率和振型,为数控机床BIG-PLU... 以有限元分析与模态分析理论为基础,建立基于UG-NX5造型软件平台的BIG-PLUS工具系统三维几何模型,并根据实际工况建立有限元模型,利用ANSYS软件对施加有位移约束的有限元模型进行了前四阶模态分析,得出固有频率和振型,为数控机床BIG-PLUS工具系统的动力特性设计和模态实验分析提供了重要的依据。 展开更多
关键词 big-PLUS 工具系统 模态分析
在线阅读 下载PDF
人工智能大模型的技术风险与治理路径
19
作者 代栋栋 《汉江师范学院学报》 2026年第1期96-101,共6页
推进人工智能大模型的风险研判与精准善治既是提升人工智能产品可信度与安全性的基本前提,同时也是实现前沿科技创新突破与场景应用的重要保障。研究发现,人工智能大模型以海量数据为训练基础、以推理算法为核心保障、以场景应用为有效... 推进人工智能大模型的风险研判与精准善治既是提升人工智能产品可信度与安全性的基本前提,同时也是实现前沿科技创新突破与场景应用的重要保障。研究发现,人工智能大模型以海量数据为训练基础、以推理算法为核心保障、以场景应用为有效支撑,全面赋能经济社会高质量发展。然而,人工智能大模型在显著提高社会生产生活效率的同时,仍然面临数据合规、算法歧视和内容侵权等技术风险。面向未来的人工智能大模型技术风险的治理框架,应以元治理为理论基础,以健全数据治理机制、明确平台治理责任、培育公民参与意识、提升政府元治理能力为有效路径,最终构建健康有序的智能生态环境。 展开更多
关键词 人工智能 大模型 技术风险 元治理 ChatGPT
在线阅读 下载PDF
基于人工智能技术的AI大模型系统设计
20
作者 付康民 《电子设计工程》 2026年第2期57-60,65,共5页
针对准确检索文本和图像等多种数据、依据用户需求进行准确推理、提供多轮对话和智能分析的需求,采用人工智能技术设计了AI大模型系统。该系统通过基础设施层架设不同的服务器集群,提供人工智能技术训练、推理等基础服务;数据层采集并... 针对准确检索文本和图像等多种数据、依据用户需求进行准确推理、提供多轮对话和智能分析的需求,采用人工智能技术设计了AI大模型系统。该系统通过基础设施层架设不同的服务器集群,提供人工智能技术训练、推理等基础服务;数据层采集并处理文档、统计和公开数据,建立知识库;应用层的智能分析助手利用Hopfield神经网络实现智能检索,运用Transformer模型实现多轮对话,集成决策树等技术实现信息推理,并通过图形交互界面完成人机交互。实验结果表明,该系统在检索样本量不超过3500个时,Hopfield神经网络困惑度较低,检索信息准确;样本量为5500个时,困惑度约为0.04,能有效检索信息、进行多轮对话和推理,应用效果良好。 展开更多
关键词 人工智能技术 AI大模型 系统设计 服务器集群 HOPFIELD神经网络
在线阅读 下载PDF
上一页 1 2 169 下一页 到第
使用帮助 返回顶部