期刊文献+
共找到3,327篇文章
< 1 2 167 >
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:24
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
卫生资源优化的大数据分析方法
13
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
数控机床BIG-PLUS工具系统的动态特性研究
14
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
基于人工智能技术的AI大模型系统设计
15
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
胶东半岛栖霞—蓬莱地区大数据金矿智能找矿预测
16
作者 王建新 薛林福 +2 位作者 郑楠楠 冉祥金 孙海瑞 《黄金》 2026年第1期89-101,共13页
在当前大数据时代背景下,人工智能正在快速演进并被广泛应用于地质领域。将地学大数据与人工智能方法相结合,进行矿产资源智能勘探预测,已成为世界范围内地质学者关注的重要前沿课题,具有显著的学术研究意义和实际应用价值。基于栖霞—... 在当前大数据时代背景下,人工智能正在快速演进并被广泛应用于地质领域。将地学大数据与人工智能方法相结合,进行矿产资源智能勘探预测,已成为世界范围内地质学者关注的重要前沿课题,具有显著的学术研究意义和实际应用价值。基于栖霞—蓬莱地区已完成的金矿勘查数据,采用窗口滑动法进行数据增强并构建训练数据集,利用二维卷积神经网络构建了智能矿产预测模型,通过匹配已知矿床窗口区域的特征和未知窗口区域的特征进行找矿预测。通过训练和试验,优选出效果最好的深度学习参数,实现了对栖霞—蓬莱地区的智能找矿预测,圈定的找矿预测区面积占总面积的11.37%,并进一步确定了3处金矿找矿预测区。通过地质、地球物理、地球化学综合分析,找矿预测区与前人对该地区的认识一致,验证了模型预测的准确性和可靠性。 展开更多
关键词 找矿预测 人工智能 二维卷积神经网络 大数据 数据增强 金矿 智能矿产预测模型
在线阅读 下载PDF
基于PSO-BP神经网络的热电厂负荷预测策略研究
17
作者 胡旭 米欣 曹琦 《科技创新与应用》 2026年第1期32-35,共4页
目前能源的高效利用和绿色发展受到学者们广泛的关注。该文针对某热电厂能源管理系统产生的大量历史数据,采用大数据分析的方法计算出数据之间的关联系数,以判断数据间的关联状况。建立PSO-BP神经网络模型对某热电厂未来24 h的热负荷进... 目前能源的高效利用和绿色发展受到学者们广泛的关注。该文针对某热电厂能源管理系统产生的大量历史数据,采用大数据分析的方法计算出数据之间的关联系数,以判断数据间的关联状况。建立PSO-BP神经网络模型对某热电厂未来24 h的热负荷进行预测,以便为热电厂更好地提供生产、运营、管理决策服务等。PSO-BP神经网络模型是将粒子群算法与BP算法融合产生的,不仅能够提高BP神经网络的预测精度,而且可以有效地解决BP神经网络算法学习速度慢及易陷入局部极小值、稳定性差等问题。 展开更多
关键词 大数据分析 用热特性 预测模型 PSO-BP神经网络 预测精度
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
18
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
基于自然语言处理的职务犯罪法律文书处理与分析研究
19
作者 姜志超 杨炳文 +1 位作者 高谷刚 李林怡 《通信与信息技术》 2026年第1期7-12,30,共7页
近年来,职务犯罪案件频发,现有研究多局限于法律文本和犯罪构成分析,缺乏跨学科视角,难以揭示其特征和发展趋势。目前,专门针对职务犯罪文书处理与分析的类似系统较少,法律领域通用的数据分析系统难以处理此类文书的专业性和特殊性。因... 近年来,职务犯罪案件频发,现有研究多局限于法律文本和犯罪构成分析,缺乏跨学科视角,难以揭示其特征和发展趋势。目前,专门针对职务犯罪文书处理与分析的类似系统较少,法律领域通用的数据分析系统难以处理此类文书的专业性和特殊性。因此,借助大数据、人工智能和自然语言处理技术,分析职务犯罪案例文本,揭示犯罪规律并实现高效预防具有重要意义。本研究提出基于智能数据处理与分析的职务犯罪研究模型与算法,并构建了系统原型。通过定制化爬虫技术高效采集多平台职务犯罪文书数据。在数据预处理阶段,采用jieba分词结合深度学习序列标注技术进行清洗、分词及关键信息提取。基于Word2Vec模型将文本信息转化为数字化表达,并结合K-Means聚类算法与Llama3大语言模型挖掘关键特征,显著提升类案检索精准性。最终通过箱线图、散点图等可视化手段展示犯罪规律。实验结果表明,相较于传统方法,该模型在精确度和召回率方面分别提升了21%和9%,充分验证了Llama3在语义理解和特征提取方面的强大能力。 展开更多
关键词 职务犯罪 法律文书 大数据 自然语言处理 词向量模型 聚类算法
在线阅读 下载PDF
基于大数据的蛋鸡智能养殖模式构建与实践
20
作者 张军 田运 田瑶 《智慧农业导刊》 2026年第2期17-20,共4页
养殖业作为农业产业的重要组成部分,已经成为数字经济投资者的“宠儿”,备受业内外人士关注。随着我国蛋鸡养殖业的迅速发展,依靠物联网、大数据、云计算和人工智能等现代信息技术,实时收集鸡舍环境参数、鸡群行为等信息,通过构建大模... 养殖业作为农业产业的重要组成部分,已经成为数字经济投资者的“宠儿”,备受业内外人士关注。随着我国蛋鸡养殖业的迅速发展,依靠物联网、大数据、云计算和人工智能等现代信息技术,实时收集鸡舍环境参数、鸡群行为等信息,通过构建大模型对数据进行分析与处理,实现规模化、标准化、自动化、智能化蛋鸡养殖是大势所趋,是推动蛋鸡产业高质量发展的必然选择。该文以松桃县国家数字畜牧业创新应用基地建设项目(蛋鸡品种)为例,系统梳理“梵净蛋谷”100万羽智能化蛋鸡场的数据架构、运行机理及经济-社会-生态效益,提出基于大数据的蛋鸡智能养殖体系,为进一步促进蛋鸡养殖全产业链融合发展和实现全产业链闭合管理提出建议。 展开更多
关键词 蛋鸡 大数据 智能养殖 智慧农业 松桃模式
在线阅读 下载PDF
上一页 1 2 167 下一页 到第
使用帮助 返回顶部