检索结果-南通市图书馆

生态经济 2009年第11期25卷 80-82页

作者：李严中国科学技术大学管理学院统计与金融系合肥230026

我国的经济发展与资源、环境之间的矛盾日益突出,为实现经济社会的可持续发展,必须大力发展循环经济。发展循环经济的过程中还存在很多问题,需要结合国情采取相应的措施加以解决,从而走出一条具有中国特色的循环经济发展道路。

关键词：资源环境循环经济可持续发展

Automated Machine Learning Algorithm Using Recurrent Neural Network to Perform Long-Term Time Series Forecasting

在线全文

学校读者我要写书评

暂无评论

computers, Materials & continua 2024年第3期78卷 3529-3549页

作者： Ying Su Morgan c.Wang Shuai Liu department of statistics and Data {2. University of Central FloridaOrlandoFL32816-2370USA School of Mathematics and statistics Beijing Technology and Business UniversityBeijing100048China

Long-term time series forecasting stands as a crucial research domain within the realm of automated machine learning(AutoML).At present,forecasting,whether rooted in machine learning or statistical learning,typically relies on expert input and necessitates substantial manual *** manual effort spans model development,feature engineering,hyper-parameter tuning,and the intricate construction of time series *** complexity of these tasks renders complete automation unfeasible,as they inherently demand human intervention at multiple *** surmount these challenges,this article proposes leveraging Long Short-Term Memory,which is the variant of Recurrent Neural Networks,harnessing memory cells and gating mechanisms to facilitate long-term time series ***,forecasting accuracy by particular neural network and traditional models can degrade significantly,when addressing long-term time-series ***,our research demonstrates that this innovative approach outperforms the traditional Autoregressive Integrated Moving Average(ARIMA)method in forecasting long-term univariate time *** is a high-quality and competitive model in time series prediction,and yet it requires significant preprocessing *** multiple accuracy metrics,we have evaluated both ARIMA and proposed method on the simulated time-series data and real data in both short and long ***,our findings indicate its superiority over alternative network architectures,including Fully connected Neural Networks,convolutional Neural Networks,and Nonpooling convolutional Neural *** AutoML approach enables non-professional to attain highly accurate and effective time series forecasting,and can be widely applied to various domains,particularly in business and finance.

关键词： Automated machine learning autoregressive integrated moving average neural networks time series analysis

Effective Exchange Rate and chinese Exports:An Empirical Analysis Based on GARcH-GED and VEc Models

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Effective Exchange Rate and Chinese Exports:An Empirical Ana...

INFERENcE ON THE RANK OF THE GROWTH cURVE MODEL USING MODEL SELEcTION METHOD

2.11 International conference on Business Management and Electronic Information(BMEI 2.11)

作者： Jinjing Liu Zhaoben Fang department of statistics and {2. university of science and technology of c.ina hefei Anhui c.ina

Based on monthly data,Johansen multivariate cointegration methods and vector correction models （VEc） are applied to measure the impact of RMB effective exchange rate and its variability on total exports and exports classified by Standard International Trade classification （SITc）.RMB effective exchange rate variability is estimated by the conditional variance of GARcH-GED model,i.e.,a generalized autoregressive conditional heteroscedastic （GARcH） model where the error term comes from generalized error distribution （GED）.The results show that price elasticity of foodstuffs ＆ beverages and manufactured goods is rather *** empirical analysis can’t deny that appropriate exchange rate variability is helpful to *** the long run,exchange rate variability upgrades chinese industrial structure and improves the method of commercial trade.

关键词： Exports Johansen multivariate cointegration VEc Exchange rate volatility GARcH-GED

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Journal of Systems science & complexity 2001年第2期14卷 218-224页

作者： ZHAO Lincheng WANG Xuena WU Yaohua (department of statistics and {2., university of science and technology of c.ina, hefei 230026, c.ina) 中国科学技术大学安徽合肥 230026

In this paper we study the estimation of the rank of the parameter trix(RPM) in a growth curve model in the framework of model selection. Following AIc criterion we propose a new general criterion and obtain a strongly consistent estimate of the RPM. We come to our conclusions under the assumptions of normal population and a general case separately.

关键词： AIc criterion EDc criterion growth curve model model selection variable selection.

平衡损失函数下Bayes线性无偏最小方差估计的优良性

在线全文

学校读者我要写书评

暂无评论

山东大学学报（理学版） 2011年第11期46卷 89-95页

作者：刘谢进缪柏其淮南师范学院数学与计算科学系安徽淮南232038 中国科学技术大学统计与金融系安徽合肥230026

在平衡损失风险函数准则下研究了未知参数的Bayes线性无偏最小方差(BLUMV)估计相对于最优加权最小二乘(OWLS)估计的优良性,并导出在一定条件下二者趋于一致。在PRPc(predictive Pitman closeness criteri-on)准则下研究了BLUMV估计相对... 详细信息

在平衡损失风险函数准则下研究了未知参数的Bayes线性无偏最小方差(BLUMV)估计相对于最优加权最小二乘(OWLS)估计的优良性,并导出在一定条件下二者趋于一致。在PRPc(predictive Pitman closeness criteri-on)准则下研究了BLUMV估计相对于OWLS估计的优良性。

关键词： Bayes线性无偏最小方差估计最小二乘估计最优加权最小二乘估计平衡损失风险函数准则 PRPc准则

Algebraic characterization of RNA operations for DNA-based computation

在线全文

学校读者我要写书评

暂无评论

Progress in Natural science:Materials International 2004年第11期 83-86页

作者： LI Shuchao 1,2.*(1. Faculty of Mathematics and statistics, central c.ina Normal {2., Wuhan 430079, c.ina 2. department of control science and Engineering, Huazhong {2. of science and technology, Wuhan 430074, c.ina) FacultyofMathematicsandstatistics CentralChinaNormalUniversityWuhan430079China

Any RNA strand can be presented by a word in the language X *, where X=｛A,c,G,U｝. By encoding A as 010, c as 000, G as 111, and U as 101, the RNA operations can be considered as the performance of concatenation, union, reverse, complement, in terms of the algebraic characterization. The concatenation and union play the roles of multiplication and addition over some algebraic structures, respectively. The rest of the operations turn out to be the homomorphisms or anti-homomorphisms of these algebraic structures. Using this technique, we find the relationship among these RNA operations.

关键词： concatenation code monoid semiring.

Multiple constraints QoS multicast routing optimization algorithm in MANET based on GA

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Progress in Natural science:Materials International 2008年第3期18卷 331-336页

作者： Baolin Sun a,c, Shangchao Pi b, chao Gui a, Yue Zeng d, Bing Yan a, Wenxiang Wang c, Qianqing Qin c a School of computing, Hubei university of Economics, Wuhan 4302.5, c.ina b college of {2., Zhongyuan university of technology, Zhengzhou 450007, c.ina c State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan university, Wuhan 430079, c.ina d department of computing, Jiangxi Vocational college of finance and Economics, Jiangxi 332.00, c.ina School of computing Hubei University of Economics Wuhan 430205 China college of science Zhongyuan University of Technology Zhengzhou 450007 China State Key Laboratory of Information Engineering in Surveying Mapping & Remote Sensing Wuhan University Wuhan 430079 China department of computing Jiangxi Vocational College of Finance and Economics Jiangxi 332000 China

Usually multiple quality of service (QoS) guarantees are required in most multicast applications. This paper presents a multiple con-straints algorithm for multicast traffic engineering in mobile ad hoc networks (MANET). The proposed algorithm is a new version of multiple constraints QoS multicast routing optimization algorithm in MANET based on genetic algorithm (MQMGA). The proposed MQMGA can optimize the maximum link utilization, the cost of the multicast tree, the selection of the long-life path, the average delay and the maximum end-to-end delay. Experimental result shows that the approach is efficient, has promising performance in multicast traffic engineering and for evaluating the route stability in dynamic mobile networks.

关键词： Ad hoc network Multicast routing QoS Genetic algorithm

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

方向数据密度核估计的对数律

数学学报（中文版） 2003年第5期46卷 865-874页

作者：王小明赵林城中国科技大学统计与金融系合肥230026

设X为取值于k维单位球面上的单位随机向量,具有概率密度函数f(x),X_1,…,X_n为X的n个i.i.d.的观察,讨论f(x)具有形式的核估计,其中K为定义于[0,+∞]上的非负核函数,ω_k为Ω_k上的Lebesque测度,本文建立了fn(x)的对数律,并给出了fn(x)... 详细信息

设X为取值于k维单位球面上的单位随机向量,具有概率密度函数f(x),X_1,…,X_n为X的n个i.i.d.的观察,讨论f(x)具有形式的核估计,其中K为定义于[0,+∞]上的非负核函数,ω_k为Ω_k上的Lebesque测度,本文建立了fn(x)的对数律,并给出了fn(x)的一致强相合速度。

关键词：方向数据密度函数核估计对数律

连续型单参数指数族参数的经验Bayes估计问题:NA样本情形

在线全文

学校读者我要写书评

暂无评论

数学研究 2006年第1期39卷 44-50页

作者：陈玲韦来生中国科学技术大学统计与金融系中国科学技术大学统计与金融系安徽合肥230026

对连续型单参数指数族在平方损失下导出了参数的Bayes估计,利用同分布负相协(NA)样本构造了经验Bayes(EB)估计量,并在适当条件下获得了EB估计的收敛速度.文末给出一个满足定理条件的例子.

关键词：单参数指数族 NA样本经验Bayes估计收敛速度

Exploring a New Lifetime Distribution for Modelling the Waiting Time of Bank customers

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Journal of Applied Mathematics and Physics 2024年第1期12卷 194-209页

作者： Simon A. Ogumeyo Jacob c. Ehiwario Festus c. Opone department of Mathematics Delta State University of Science and Technology Ozoro Nigeria department of statistics University of Delta Agbor Nigeria department of statistics Delta State University of Science and Technology Ozoro Nigeria

The fitting of lifetime distribution in real-life data has been studied in various fields of research. With the theory of evolution still applicable, more complex data from real-world scenarios will continue to emerge. Despite this, many researchers have made commendable efforts to develop new lifetime distributions that can fit this complex data. In this paper, we utilized the KM-transformation technique to increase the flexibility of the power Lindley distribution, resulting in the Kavya-Manoharan Power Lindley (KMPL) distribution. We study the mathematical treatments of the KMPL distribution in detail and adapt the widely used method of maximum likelihood to estimate the unknown parameters of the KMPL distribution. We carry out a Monte carlo simulation study to investigate the performance of the Maximum Likelihood Estimates (MLEs) of the parameters of the KMPL distribution. To demonstrate the effectiveness of the KMPL distribution for data fitting, we use a real dataset comprising the waiting time of 100 bank customers. We compare the KMPL distribution with other models that are extensions of the power Lindley distribution. Based on some statistical model selection criteria, the summary results of the analysis were in favor of the KMPL distribution. We further investigate the density fit and probability-probability (p-p) plots to validate the superiority of the KMPL distribution over the competing distributions for fitting the waiting time dataset.

关键词： KM-Transformation Power Lindley Distribution Data Fitting Moments Quantiles