检索结果-内蒙古大学图书馆

International Conference on Economic Management and Model Engineering (ICEMME)

作者： Li, Bahao Jiujiang Univ Sch Econ & Management Jiujiang Peoples R China

ISBN: (纸本)9781728155883

With the development of economic globalization and regional integration, the development of countries, regions, and cities is continuously accelerating. At the same time, it also means that competitions between countries, regions and cities are becoming increasingly fierce. Today, improving the competitiveness of cities has become the main goal of a country. The economic competition between countries is now specifically represented by city-level competition. If a country does not have a city that can be listed as a first-class economic zone in the world, then there is no way for the country to lead in the economic wave. Urban competitiveness determines the resources, capabilities and rights that cities can get, and the improvement of urban competitiveness cannot be achieved without the help of municipal financing. Municipal financing is in a severe situation now. If we want to achieve the sustainable development goal of the city, we need insight capital as a necessary input basis, that is, municipal financing of the city is an important influencing factor to guarantee the constant improvement of urban competitiveness and realize city's sustainable development. At the same time, the local government is the government entity that closely manages the city. The municipal government plays a decisive role in public services, education, business environment, and affecting the quality of local life. However, today's municipal financing has many shortcomings in terms of resources, capabilities, and rights, which limit local empiricism to provide cities with the development momentum they need. Therefore, improving the financial status of municipalities and promoting the development of municipal financing are vital to urban development. This article will analyze the impact of municipal financing on promoting urban competitiveness, and explore the relationship between municipal financing and urban competitiveness by establishing a multiple linear regression model.

关键词： linear regression method municipal financing urban competitiveness improvement economic model

来源：评论

学校读者我要写书评

暂无评论

Application of Group method of Data Handling to Stream-Way Transition

Application of Group Method of Data Handling to Stream-Way T...

引用

1st IITA International Joint Conference on Artificial Intelligence

作者： Ma, Shih-Wei Kou, Chang-Huan Chen, Li Wang, An-Pei Chung Hua Univ Dept Civil Engn & Engn Informat Hsinchu 30012 Taiwan Chung Yuan Christian Univ Dept Civil Engn Chungli 32023 Taiwan

ISBN: (纸本)9780769536156

The main purpose of this paper is to predict streamway transition with group method of data handling (GMDH). Therefore, the downstream stream-way transition according to the upstream conditions is forecasted by group method of data handling. Five main factors may affect the stream-way transition include inflow position, inflow angle, slope, flow discharge, and sand content of suspended sediment. We selected some cross sections of Ta-Chia River in Taiwan as a case study. The results show that GMDH has better performance than the traditional linear regression method.

关键词： Stream-way transition group method of data handling linear regression method

来源：评论

学校读者我要写书评

暂无评论

Optimization of Injection Production Matching Strategy in Reservoir Development Process Using Support Vector Machine Algorithm 24

Optimization of Injection Production Matching Strategy in Re...

引用

International Conference on Machine Intelligence and Digital Applications (MIDA)

作者： Jiang, Chunhua Daqing Oilfield Ltd Co Inst Geol Oil Prod Plant 6 Daqing 163000 Heilongjiang Peoples R China

ISBN: (纸本)9798400718144

This article explores how to use Support Vector Machine (SVM) algorithm to optimize the injection production matching strategy in the process of reservoir development. By establishing an SVM-based prediction model, this article aims to improve the injection and production efficiency of oil fields and address the limitations of traditional methods in processing nonlinear and complex data. The article first reviews the main challenges in current reservoir management and existing injection production matching methods, followed by a detailed introduction to the principle of SVM algorithm and its application in reservoir management. Through comparative experiments and case analysis, the effectiveness of the SVM model in improving oilfield recovery and economic benefits is verified. After adopting the SVM strategy, the injection production efficiency improves by about 15% and the oil-water ratio improves by 20%. The SVM model also tends to perform stably in oil fields of different geological types. During the one-year experimental period, the SVM algorithm maintains a performance improvement of about 5% in each month. The experimental data results show the effectiveness and reliability of SVM algorithm in oilfield injection production matching optimization, demonstrating the potential of SVM algorithm in improving oilfield development efficiency and economic benefits.

关键词： Reservoir management Injection production matching strategy SVM algorithm linear regression method

来源：评论

学校读者我要写书评

暂无评论

An Effective Short-Term Load Forecasting methodology Using Convolutional Long Short Term Memory Network 11

An Effective Short-Term Load Forecasting Methodology Using C...

引用

11th International Conference on Electrical and Computer Engineering (ICECE)

作者： Rafi, Shafiul Hasan Nahid-Al Masood Deeba, Shohana Rahman Mil Inst Sci & Tech Dept EECE Dhaka Bangladesh Bangladesh Univ Engn & Tech Dept Elect & Elect Engn Dhaka Bangladesh North South Univ Dept Elect & Comp Engn Dhaka Bangladesh

ISBN: (纸本)9781665422543

In this research work, an improved short-term electrical load forecasting technique is developed. Short-term load forecasting plays a key role in scheduling of generating units and spinning reserve evaluation. It essentially estimates the near-future electricity demand, which helps to ensure seamless operation of all three stages of a power system - generation, transmission and distribution. There are a number of strategies for short-term load forecasting. However, conventional methods may not provide precise forecasting outcomes. Therefore, it is necessary to develop a more accurate technique to predict short-term electrical load. To this end, a convolutional long short term memory network (Conv-LSTM) is developed in this paper, which results in good forecasting precision. The developed methodology is applied to the electric load data of Bangladesh power system. Further, the performance of the proposed technique is compared to that of the conventional linear regression based forecasting algorithm in terms of different error metrics. Simulation results reveal that the proposed approach provides better forecasting and outperforms the conventional algorithm.

关键词： Short-term load forecasting Conv-LSTM network linear regression method Bangladesh power system Error metrics

来源：评论

学校读者我要写书评

暂无评论

A Comparative Study of Using Spindle Motor Power and Eddy Current for the Detection of Tool Conditions in Milling Processes 13

A Comparative Study of Using Spindle Motor Power and Eddy Cu...

引用

13th IEEE International Conference on Industrial Informatics (INDIN)

作者： Abbass, Jabbar K. Al-Habaibeh, Amin Minist Sci & Technol Ctr Space Applicat Baghdad Iraq Nottingham Trent Univ Adv Design & Mfg Engn Ctr Nottingham NG1 4BU England

ISBN: (纸本)9781479966493

This paper investigates the use of the power of the driving motor of a CNC spindle in comparison to two perpendicular eddy current sensors for the detection of tool wear in milling processes. Monitoring the power through the current profile is a low cost system which has been utilised in this study as an attempt to detect the fluctuation in the motor load as a result of the conditions of the cutting tool. Eddy current sensors are dedicated sensors that are installed on the spindle to measure the vibration of the rotating spindle in two axes. Experimental work has been conducted using fresh and worn tools to investigate the effect of tool conditions on the two sensory systems. Time domain features are utilised to compare between the two sensors in relation to this application. The results indicate that Eddy current sensors are found to be more successful and sensitive, in general, than the power of the motor in detecting the changes of the cutting tools during the machining operation. However, the kurtosis value of the power of the spindle has been found to be successful in predicting the tool conditions with high sensitivity.

关键词： Condition Monitoring Motor power eddy current sensor Tool wear linear regression method

来源：评论

学校读者我要写书评

暂无评论

Optimal Operation Study of Qing River Cascade Reservoirs Based on GA with Uncertainty and Flow Transmission Considered

Optimal Operation Study of Qing River Cascade Reservoirs Bas...

引用

International Conference on Modern Hydraulic Engineering (CMHE)

作者： Zhou, Ran Yang, Kan Hohai Univ Coll Hydrol & Water Resources Nanjing 210098 Jiangsu Peoples R China

This paper presented a simulation method which considers the uncertainty and flow transmission in optimal operation of Qing River cascade reservoirs. Latin hypercube method was applied to simulate the uncertain inflow, and its sampling frequency and accuracy were very satisfied. linear regression method was used to deal with the damping and deformation in the process of flow transmission. And Genetic algorithm(GA) was found application for solving the optimal operation model of Qing River cascade reservoirs. According to the method presented we could obtain the scheduling scheme of cascade reservoirs under different risk rates which were helpful to the decision-making. The result showed that the method is practical. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Society for Resources, Environment and Engineering

关键词： Qing River cascade reservoirs Latin hypercube Flow transmission linear regression method Genetic algorithm

来源：评论

学校读者我要写书评

暂无评论

Investigation on linearisation of data-driven transport research: two representative case studies

Investigation on linearisation of data-driven transport rese...

引用

15th World Conference on Transport Research (WCTR)

作者： Zou, Yun Kuang, Yan Zhi, Yue Qu, Xiaobo Sch Civil & Environm Engn Univ Technol Sydney Sydney NSW 4007 Australia Griffith Univ Griffith Sch Engn Gold Coast Qld 4222 Australia Binzhou Med Univ Sch Rehabil Med Yantai 264003 Peoples R China Chalmers Univ Technol Dept Architecture & Civil Engn S-41296 Gothenburg Sweden

Transportation engineering, as a practical engineering discipline, relies heavily on the accurate calibration of importation parameters from field data. In the real world, most transport relations possess inherent non-linearity. Two prevailing methods for handling non-linear regression are the non-linear least-squares method (LSM) with an iterative solution, and linearisation for the non-linear regression function. The second method applies a linear regression method to solve the non-linear regression problem but requires a data transformation of the observations from variant coordinates, and the objective function is suspected to be changed accordingly. This work describes the authors' investigation into the problem of non-linear regression through two illustrative examples, the calibration of three non-linear (either exponential or logarithmic) single-regime models for fundamental diagram and the regression of non-linear (power) bunker-consumption model, by applying the weighted LSM (WLSM) and the ordinary LSM to calibrate. It is found that linearising the regression model leads to deviations, and the data transformation can create even more concern with the WLSM because the weights can be redistributed after the data transformation. A further investigation into the linear regression and the non-linear regression gives more suggestions on the choice of regression method.

关键词： transportation least squares approximations mechanical engineering computing regression analysis data-driven transport research transportation engineering nonlinearity nonlinear regression function linear regression method nonlinear regression problem data transformation nonlinear bunker-consumption model regression model

来源：评论

学校读者我要写书评

暂无评论

Application of Data Mining in Psychological Evaluation

Application of Data Mining in Psychological Evaluation

引用

International Symposium on Computer Science and Computational Technology

作者： Tong, Hengqing Guo, Li Wuhan Univ Technol Dept Math Wuhan 430070 Peoples R China

ISBN: (纸本)9780769534985

This paper studies the realizing progress of data mining in psychological evaluation. Based on the matrix of evaluation data and the actual evaluation work, we propose a kind of generalized linear regression model with convex constraint, named as Evaluation Model, in which the dependent variable and regression coefficients all are unknown. We analyze the algorithm of the model with linear regression method. Then the least square estimate of parameters using the iterative projection algorithm is presented. At last, we use this least square iterative method to work out the parameters of the evaluation model. Our work could be a useful guide for the further research of data mining in psychological evaluation.

关键词： Matrix of Evaluation Data Evaluation Model linear regression method Iterative Projection Algorithm

来源：评论

学校读者我要写书评

暂无评论

STUDY ON QUANTITATIVE RETRIEVAL OF SOIL NUTRIENTS

STUDY ON QUANTITATIVE RETRIEVAL OF SOIL NUTRIENTS

引用

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

作者： Dong, Heng Chen, Chao Wang, Jinliang Qin, Qiming Jiang, Hongbo Zhang, Ning Liu, Mingchao Peking Univ Inst Remote Sensing & Geog Informat Syst Beijing 100871 Peoples R China

ISBN: (纸本)9781457710056

Soil spectral reflectance is affected by soil physicochemical characteristics and the physical basis of the soil remote sensing. Generally, the impact factors of the soil spectral features include water content, organic matter content, iron oxides content, physical composition and the parent material. In this study, a portable ASD FieldSpec Pro FR was used to collect the spectra of soil samples. The sensitive bands were selected by analyzing the relationship between nutrients and soil spectral features. Then the inversion models of soil nitrogen and organic were established by linear regression separately. The result showed that the content of soil nitrogen and soil organic can be well retrieved from remote sensing.

关键词： Soil spectral reflectance Soil nutrients linear regression method

来源：评论

学校读者我要写书评

暂无评论

Accurate estimation of soil shear strength parameters

引用

Journal of Central South University 2019年第4期26卷 1000-1010页

作者： CHEN Li-hong LI Xu XU Yao CHEN Zu-yu DENG Gang Department of Civil Engineering Beijing Jiaotong University China Institute of Water Resources and Hydropower Research

The cost and safety of geotechnical engineering are highly depending on the accuracy of soil shear strength *** are three methods often used to estimate soil shear strength parameters,i.e.,moment method,3-sigma rule and linear regression *** this study,the accuracy of these three methods is *** linear regression method(LRM)can only offer the mean of shear strength *** engineers misuse the standard error of shear strength indexes as the standard *** misuse may highly underestimate the uncertainty and induce high risk to the geotechnical design.A modified LRM is proposed to determine both the mean and variance of shear strength *** moment method,three-sigma rule and LRM are used to analyze the tri-axial test data in Xiaolangdi Hydraulic Project and three numerical shear strength *** results demonstrate that:1)The modified LRM can offer the most accurate estimation to shear strength parameters;2)A dimensionless formula is much preferred in LRM rather than a dimensional *** stress ratio formula is much better than stress relation in the shear strength parameter *** proposed method is applicable to shear strength parameter analysis for tri-axial test data,direct shear test and the un-drained shear strength test of stratified clay.

关键词： linear regression method shear strength index tri-axial test reliability analysis data analysis uncertainty

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：