检索结果-内蒙古大学图书馆

2013 International Conference on Mechatronics and Automatic Control Systems, ICMS 2013

作者： Yao, Mei Wang, Xiaojia School of Mathematics Hefei University of Technology Hefei China Key Lab of Process Optimization and Intelligent Decision-making Hefei University of Technology Hefei China

ISBN: (纸本)9783319012728

In recent years, with the development of society and the progress of science and technology, the GM (1, 1) model has been widely applied in economy, management, industry, control, social development plan, etc. But the GM (1, 1) model in the application process has encountered a low accuracy of predictions. Therefore, the improvement and optimization research of GM (1, 1) model is an important issue. In order to improve the prediction accuracy of GM (1, 1) model, it is necessary to consider reconstructing the background value of the model, which can improve the quality of the forecasting model. This paper discusses the improved GM (1, 1) model. The improved model has better prediction accuracy. It is used to forecast the society electricity consumption in eastern China, and the specific numerical examples demonstrate that this method can improve the simulation and the prediction accuracy. © Springer International Publishing Switzerland 2014.

关键词： Forecasting

来源：评论

学校读者我要写书评

暂无评论

A method based on manifold learning and bagging for text classification

A method based on manifold learning and bagging for text cla...

引用

2011 2nd International Conference on Artificial Intelligence, Management Science and Electronic Commerce, AIMSEC 2011

作者： Li, Feng Gang Fan, Ji Li Wang, Li Zhang, Hu Lin Duan, Rui School of Management Hefei University of Technology Hefei 230009 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9781457705366

In order to solve the problem of high dimension in text classification, the paper proposes a method based on manifold learning and Bagging for text classification which imports manifold learning algorithm for dimension *** Bagging algorithm is introduced when training classifier to improve the accuracy of text classification. Experimental results demonstrate that effect of text dimension reduction by manifold learning algorithm in the pretreatment of text classification is better, and the performance of the classifier has improved significantly. © 2011 IEEE.

关键词： Classification (of information)

来源：评论

学校读者我要写书评

暂无评论

Inferential modelling and decision making with data 23

Inferential modelling and decision making with data

引用

23rd IEEE International Conference on Automation and Computing, ICAC 2017

作者： Yang, Jian-Bo Xu, Dong-Ling Decision and Cognitive Sciences Research Centre University of Manchester ManchesterM13 9SS United Kingdom Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei China

ISBN: (纸本)9780701702618

In this paper, we introduce the main concepts of a new maximum livelihood evidential reasoning (MAKER) framework for data-driven inferential modelling and decision making under different types of uncertainty. It consists of two types of model: state space model (SSM) and evidence space model (ESM), driven by the data that reflects the relationships between system inputs and output. SSM is constructed to describe different system states and changes. ESM is established by mapping data to a set of evidence that is partitioned into evidential elements each pointing to a system state set and together represents system behaviours in a probabilistic and distributed manner. The reliability of evidence and interdependence between a pair of evidence are explicitly measured. It is in the joint evidence-state space that multiple pieces of evidence with different degrees of interdependence and reliability are acquired from system inputs and combined to inference system output. A general optimal learning model is constructed, where evidence reliability can be learnt from historical data by maximising the likelihood of true state. In the MAKER framework, different types of uncertainty can be taken into account for inferential modelling, probabilistic prediction and decision making. © 2017 Chinese Automation and Computing Society in the UK - CACSUK.

关键词： decision making

来源：评论

学校读者我要写书评

暂无评论

Reasearch on the technology of electronic sand table based on GIS

Reasearch on the technology of electronic sand table based o...

引用

International Conference on Information Science and Engineering

作者： Chen, Haihan Lu, Zhitang Key Laboratory of Process Optimization and Intelligent Decision-making Hefei University of Technology Ministry of Education Hefei China School of Resources and Environmental Engineering Hefei University of Technology Hefei China

ISBN: (纸本)9781424480968

Electronic sand table is a new high-tech product by integrating computer application, geographic information systems (GIS) and virtual reality with multimedia. In this paper, an electronic sand table system of target areas is made under the platform of ArcGIS. The design and realization scheme of electronic sand table system is introduced at first. Then, the key techniques for electronic sand table, such as data processing, terrain modeling and feature matching, are described in details. Finally, the electronic sand table system is carried out on the platform of ArcGIS based on digital elevation model (DEM) and satellite remote sensing image. It can give users a real-time and interactive operation circumstance, and provide some references for the decision-makers to get a better understanding of the regions. © 2010 IEEE.

关键词： Remote sensing

来源：评论

学校读者我要写书评

暂无评论

Ensemble Classifier Design Based on Perturbation Binary Salp Swarm Algorithm for Classification

引用

Computer Modeling in Engineering & Sciences 2023年第4期135卷 653-671页

作者： Xuhui Zhu Pingfan Xia Qizhi He Zhiwei Ni Liping Ni School of Management Hefei University of TechnologyHefei230009China School of Statistics Zhejiang Gongshang UniversityHangzhou310018China Key Laboratory of Process Optimization and Intelligent Decision-Making Ministry of EducationHefei230009China Collaborative Innovation Center for Statistical Data Engineering Technology and Application ZhejiangGongshang UniversityHangzhou310018China

Multiple classifier system exhibits strong classification capacity compared with single classifiers,but they require significant computational *** ensemble system aims to attain equivalent or better classification accuracy with fewer ***,current methods fail to identify precise solutions for constructing an ensemble *** this study,we propose an ensemble classifier design technique based on the perturbation binary salp swarm algorithm(ECDPB).Considering that extreme learning machines(ELMs)have rapid learning rates and good generalization ability,they can serve as the basic classifier for creating multiple candidates while using fewer computational ***,we introduce a combined diversity measure by taking the complementarity and accuracy of ELMs into account;it is used to identify the ELMs that have good diversity and low *** addition,we propose an ECDPB with powerful optimizing ability;it is employed to find the optimal subset of *** selected ELMs can then be used to forman ensemble *** on 10 benchmark datasets have been conducted,and the results demonstrate that the proposed ECDPB delivers superior classification capacity when compared with alternative methods.

关键词： Ensemble classifier salp swarmalgorithm diversity measure multiple classifiers system extreme learning machine

来源：评论

学校读者我要写书评

暂无评论

Integrated production and delivery withmultiple factories and multiple customers

引用

International Journal of Systems Science: Operations and Logistics 2017年第3期4卷 219-228页

作者： Li, Kai Zhang, Xun Leung, Joseph Y-T. Cheng, Ba-yi School of Management Hefei University of Technology Hefei China Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education Hefei China Department of Computer Science New Jersey Institute of Technology Newark NJ United States

This paper considers coordinated scheduling of production and delivery with multiple factories and multiple customers. Due to the variation of cost, the production and delivery costs of a job are dependent on the factory to which it is assigned. Our problem is to find a schedule that minimises the makespan or the total completion time, subject to the constraint that the total cost does not exceed a given threshold. We first describe a linear programming algorithm to solve the preemptive case. The result of the linear program serves as a lower bound of the nonpreemptive case and suggests heuristics to solve the nonpreemptive case. We also show that minimising the total completion time subject to a given threshold of the cost is NP-complete. Computational experiments are conducted and the results show that the heuristics perform very well in practice. © 2016, © 2016 Informa UK Limited, trading as Taylor & Francis Group.

关键词： delivery cost heuristics makespan multiple factories Scheduling total completion time

来源：评论

学校读者我要写书评

暂无评论

3DGS-based Tracking of Articulated Instruments for Instruments-Tissue Interaction Estimation in Robot-assisted Minimally Invasive Surgery

3DGS-based Tracking of Articulated Instruments for Instrumen...

引用

2024 IEEE International Conference on Robotics and Biomimetics, ROBIO 2024

作者： Li, Xiaojian Shen, Lili Li, Ling Mo, Hangjie Wang, Xin Ma, Xiang Zheng, Jieyu School of Management Hefei University of Technology Hefei China Hefei University of Technology Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei China West China Hospital Sichuan University Sichuan China

ISBN: (纸本)9781665481090

3D information of surgical scene potentially enhances the accuracy of surgical navigation and facilitate the automation of robot-assisted surgery. However, current research seldom considers the relative 3D position between instruments and tissue. In this paper, the instruments-tissue interaction estimation method is proposed to obtain the relative distance between instruments and tissue. The 3D Gaussian representation of instruments is established preoperatively, making the pose of instruments the only parameter to be learned and updated. Based on this, the instrument pose estimation method is proposed, which applies 3DGS (3D Gaussian Splatting) to the instrument Gaussian model to obtain rendered color images, projection masks, and depth maps. These are aligned with the input images, segmented masks and depth from stereo depth estimation to construct the target loss. By backpropagating through the target loss, the optimal instrument pose is obtained. The L1 loss and smooth loss based on TPS (the Thin Plate Spline) are used to complete the depth of tissue occluded by instruments. The instruments-tissue interaction is estimated by the nearest distance between instrument and tissue. The experimental results indicate an average error of 0.94 mm and an accuracy of 90.40% with an error less than 2mm in estimating relative 3D distance between instruments and tissue. © 2024 IEEE.

关键词： Robotic surgery

来源：评论

学校读者我要写书评

暂无评论

ANALYSIS OF THE KQML MODEL IN MULTI-AGENT INTERACTION

引用

Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2001年第2期2卷 12-16页

作者：刘海龙吴铁军 National Laboratory for Industrial Process Control Technology Institute of Intelligent Systems and Decision Making Zhejiang University Hangzhou China

Our analysis of the KQML(Knowledge Query and Manipulation Language) model yielded some conclusions on the knowledge level of communication in agent-oriented program. First, the agent state and transition model were given for analyzing the necessary conditions for interaction with the synchronal and asynchronous KQML model respectively. Second, we analyzed the deadlock and starvation problems in the KQML communication, and gave the solution. At last, the advantages and disadvantages of the synchronal and asynchronous KQML model were listed respectively, and the choosing principle was given.

关键词： multi-agent KQML communication

来源：评论

学校读者我要写书评

暂无评论

Analysis on medicine compounding for stroke prevention treated by Xin'an physicians based on association rules

Analysis on medicine compounding for stroke prevention treat...

引用

2012 5th International Conference on intelligent Computation Technology and Automation, ICICTA 2012

作者： Gao, Luan Li, Feng-Gang Wang, Jian Liang, Yu Li, Yu Chinese Medicine Clinic Institute Anhui Chinese Medical College Hefei 230038 China Key Laboratory of Process Optimization and Intelligent Decision-making Ministry of Education Hefei University of Technology Hefei 230009 China

ISBN: (纸本)9780769546377

The purpose of this paper is to probe into the rules of medicine compounding for stroke prevention treated by Xin'an physicians by data mining. The method is in two steps. First step is to build the database of the Xin'an physical stroke prevention. Second step is to use the method of association rules contained in professional data mining software and probe into the medicine rules for stroke prevention treated by Xin'an physicians. The result is that Chenpi, Fuling, Gancao, Luxiancao, Xiqiancao, Baijili, and Shinanye which are of the seven common Chinese medical compounding prescriptions can be used for Xin'an physicians' stroke prevention. The conclusion is that we should utilize the eliminating phlegm, calming wind and clearing the channels when Xin'an physicians treat stroke problem. © 2012 IEEE.

关键词： Association rules

来源：评论

学校读者我要写书评

暂无评论

Forecasting Modeling and Analysis of Power Engineering in China Based on Gauss-Chebyshev Formula

引用

Systems Engineering Procedia 2012年 5卷 131-136页

作者： Xiaojia Wang China Key Laboratory of Process Optimization and Intelligent Decision-Making Hefei University of Technology Hefei Anhui. 230009China

This paper used Gauss-Chebyshev formula to construct a new class of gray prediction model- GCGM (1,1) to overcome the lack of existed gray model and made accurate forecasting of electricity consumption for power engineering. A case study using the power engineering data of China is presented to demonstrate the effectiveness of our approach.

关键词： Gauss-Chebyshev formula GM (1 1) model background value forecasting power engineering

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：