检索结果-内蒙古大学图书馆

您好，读者！请登录

内蒙古大学图书馆

首页
概况
党建
资源
服务
科研支持
- 论文收录引用证明
- 科技查新
知识产权
档案馆
帮助

咨询与建议

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

您的常用邮箱：*

您的手机号码：*

问题描述：

当前已输入0个字，您还可以输入200个字

全部搜索
期刊论文
图书
学位论文
标准
纸本馆藏
外文资源发现
数据库导航
超星发现

高级检索

时间限定

出版年份：

文献类型

图书期刊文献学位论文多媒体

馆藏选择

电子馆藏纸本馆藏

核心期刊

全部期刊 SCI 收录期刊 SSCI 收录期刊 EI 收录期刊 CSCD 收录期刊 CSSCI 收录期刊

语言

中文英文

文献类型

期刊文献图书学位论文标准纸本馆藏

帮助

文字说明：

T=题名（书名、题名），A=作者（责任者），K=主题词，P=出版物名称，PU=出版社名称，O=机构（作者单位、学位授予单位、专利申请人），L=中图分类号，C=学科分类号，U=全部字段，Y=年（出版发行年、学位年度、标准发布年）

检索规则说明：

AND代表“并且”；OR代表“或者”；NOT代表“不包含”；(注意必须大写,运算符两边需空一格)

检索范例：

范例一：(K=图书馆学 OR K=情报学) AND A=范并思 AND Y=1982-2016
范例二：P=计算机应用与软件 AND (U=C++ OR U=Basic) NOT K=Visual AND Y=2011-2016

分类表

所选分类

>> <<

限定检索结果

文献类型

1,049 篇 会议
177 篇 期刊文献

馆藏范围

1,226 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

815 篇 工学
- 345 篇 软件工程
- 283 篇 计算机科学与技术...
- 276 篇 控制科学与工程
- 243 篇 机械工程
- 126 篇 电气工程
- 113 篇 电子科学与技术（可...
- 84 篇 仪器科学与技术
- 78 篇 信息与通信工程
- 40 篇 生物工程
- 36 篇 冶金工程
- 36 篇 化学工程与技术
- 33 篇 地质资源与地质工...
- 31 篇 动力工程及工程热...
- 30 篇 石油与天然气工程
- 29 篇 生物医学工程（可授...
- 27 篇 材料科学与工程（可...
- 26 篇 光学工程
- 24 篇 土木工程
- 20 篇 建筑学
369 篇 理学
- 192 篇 数学
- 129 篇 系统科学
- 82 篇 物理学
- 54 篇 统计学（可授理学、...
- 41 篇 生物学
- 29 篇 化学
- 23 篇 地球物理学
- 22 篇 地质学
142 篇 管理学
- 115 篇 管理科学与工程(可...
- 28 篇 图书情报与档案管...
22 篇 医学
- 19 篇 临床医学
10 篇 经济学
8 篇 农学
4 篇 法学
4 篇 军事学
3 篇 教育学
3 篇 艺术学

主题

43 篇 feature extracti...
35 篇 training
34 篇 stability analys...
32 篇 neural networks
30 篇 predictive model...
27 篇 simulation
27 篇 control systems
26 篇 optimization
23 篇 delays
23 篇 mathematical mod...
20 篇 deep learning
20 篇 automation
20 篇 accuracy
18 篇 emotion recognit...
18 篇 geology
18 篇 data models
18 篇 stability criter...
17 篇 support vector m...
17 篇 prediction algor...
16 篇 time delay

机构

874 篇 hubei key labora...
793 篇 school of automa...
388 篇 engineering rese...
45 篇 ministry of educ...
42 篇 school of engine...
39 篇 china university...
38 篇 hubei key labora...
34 篇 school of automa...
32 篇 china university...
29 篇 school of automa...
27 篇 school of future...
24 篇 school of automa...
24 篇 school of engine...
22 篇 hubei key labora...
18 篇 school of mechan...
15 篇 school of automa...
14 篇 school of automa...
14 篇 school of inform...
13 篇 hubei key labora...
12 篇 hubei key labora...

作者

156 篇 min wu
81 篇 weihua cao
70 篇 xin chen
68 篇 jinhua she
62 篇 wu min
50 篇 luefeng chen
42 篇 yong he
38 篇 cao weihua
37 篇 chengda lu
36 篇 chuan-ke zhang
30 篇 jianqi an
30 篇 kaifeng dong
29 篇 xiongbo wan
29 篇 fang jin
27 篇 junlei song
26 篇 chao gan
26 篇 xuzhi lai
26 篇 wenkai hu
26 篇 yan yuan
25 篇 feng liu

语言

1,193 篇 英文
31 篇 其他
6 篇 中文

检索条件"机构=Hubei Key Laboratory of Advanced Control and Intelligent Automation Fo Complex Systems"

共 1226 条记录，以下是991-1000 订阅

全选清除本页清除全部题录导出标记到"检索档案"

详细简洁

排序：

Lithologic identification for imbalanced logging data based on AdaC2-SVM in drilling process

Lithologic identification for imbalanced logging data based ...

引用

第37届中国控制会议

作者： Xi Chen Weihua Cao School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

To identify some special formation lithology with imbalanced logging data, a framework of Multi-layer lithology identification method is proposed. In this framewoke, some special lithology is divided into one class in the first layer, and each lithology is separated in the second layer. A novel algorithm of Ada Cost2-support vector machine（AdaC2-SVM） is put forward using logging data of actual well located in Karamay for training, and the support vector machine-recursive feature elimination（SVM-RFE） is adopted to select attribute, and logging data from another well nearby is used for testing. Experiment result shows the G-mean and accuracy of our method is up to 95.3% and 94.4%, which has better performance than random forest（RF）algorithm, particle swarm optimization-support vector machine（PSO-SVM） algorithm and improved PSO-SVM（IPSO-SVM）algorithm. In the future, the proposed method have a good prospect and give a valuable result for geology research.

关键词： Lithologic identification Ada C2 Support vector machine Imbalanced data Drilling process

来源：评论

学校读者我要写书评

暂无评论

Improved Kriging for Drilling Visualization Based on Quantum Genetic Algorithm

Improved Kriging for Drilling Visualization Based on Quantum...

引用

第37届中国控制会议

作者： Zheng Zhang Xuzhi Lai Min Wu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

To realize drilling visualization, an effective interpolation method is essential to construct three-dimensional *** is an effective interpolation method commonly used by geologists. However, the variogram model parameters in traditional Kriging have a certain subjectivity, which will influence the accuracy of interpolation. Quantum Genetic Algorithm（QGA）is introduced to optimize the variogram model parameters selection in this paper. Elevation values of boreholes are used as data sets for simulation. The results show that the proposed improved Kriging has a better prediction accuracy.

关键词： Kriging Quantum Genetic Algorithm Optimization Interpolation

来源：评论

学校读者我要写书评

暂无评论

Fast Automatic Localization of Epileptic Seizure Onset Zones Using complex Morlet Wavelet Transform-based Singular Value Decomposition

Fast Automatic Localization of Epileptic Seizure Onset Zones...

引用

第37届中国控制会议

作者： Zelin Fang Xiongbo Wan Ting Wan School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

A new method for localization of epileptic seizure onset zones（SOZs） is proposed, which uses the Shannon-entropybased complex Morlet wavelet transform to extract a satisfactory time-frequency feature of high-frequency oscillations（Hfos）.The singular value decomposition and the K-medoids clustering algorithm are employed to extract effective features from the redundant matrix of wavelet coefficients. A distinctive feature is to use the singular values to detect Hfos with the consideration that the singular values of Hfos are generally significantly higher than those of normal case. Based on the half-maximum method,the localization of SOZs are achieved by using the characteristics of Hfos. Comparisons show that our method provides a higher sensitivity and specificity than two existing methods do.

关键词： Epilepsy Seizure onset zone（SOZ） High-frequency oscillation（Hfo） Singular value decomposition K-mediods clustering

来源：评论

学校读者我要写书评

暂无评论

Convolutional Neural Networks for Facial Expression Recognition with Few Training Samples

Convolutional Neural Networks for Facial Expression Recognit...

引用

第37届中国控制会议

作者： Zhongzhao Xie Yongbo Li Xinmei Wang Wendi Cai Jing Rao Zhenzhu Liu School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Facial expression recognition(FER) plays an important role in human-machine interaction. An assistant robot having a close interaction with human being should be able to recognize human facial expression. FER is a non-trivial problem because each individual has his own way to reveal his emotion and the facial expressions of two different persons may not be totally identical. Hence,facial expression recognition is still a challenging problem in computer vision. In this work, we propose a simple solution for facial expression recognition that uses a combination of Convolutional Neural Network and specific image pre-processing *** experiments employed to evaluate our technique were carried out using two largely used public databases(CK+, JAFFE).A study of the impact of each image pre-processing operation in the accuracy rate is presented. The proposed method: achieves competitive results when compared with other facial expression recognition methods-97.85% of accuracy in the CK+ database-it is fast to train,and it allows for real time facial expression recognition with standard computers.

关键词： Facial Expression Recognition Human-machine Interaction Convolutional Neural Network

来源：评论

学校读者我要写书评

暂无评论

A novel augmented Lyapunov functional for the stability analysis of delayed neural networks

A novel augmented Lyapunov functional for the stability anal...

引用

第37届中国控制会议

作者： Fei Long Leichao Pang Chuan-Ke Zhang Yong He School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper investigates the stability of neural networks with a time-varying *** on the good effectiveness of the augmented Lyapunov-Krasovskii functional(LKF),some useful integral vectors are summarized and used to construct single integral terms with augmented quadratic integrand so as to develop a novel augmented LKF *** an extended reciprocally convex matrix inequality and an auxiliary function-based inequality are utilized to estimate the derivative of the *** a result,an improved stability criterion is ***,the advantage of proposed method is demonstrated by a numerical example.

关键词： Augmented Lyapunov-Krasovskii functional stability neural networks time-varying delay

来源：评论

学校读者我要写书评

暂无评论

Electroencephalogram Emotion Recognition Based on A Stacking Classification Model

Electroencephalogram Emotion Recognition Based on A Stacking...

引用

第37届中国控制会议

作者： Qiao Xie Zhen-Tao Liu Xue-Wen Ding School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

To improve the accuracy of Electroencephalogram(EEG) emotion recognition,a stacking emotion classification model is proposed,in which different classification models such as XGBoost,LightGBM and Random forest are integrated to learn the *** addition,the Renyi entropy of 32 channels' EEG signals are extracted as the feature and Linear discriminant analysis(LDA) is employed to reduce the dimension of the feature *** proposal is tested on the DEAP dataset,and the EEG emotional states are accessed in Arousal-Valence emotion space,in which HA/LA and HV/LV are classified,*** result shows that the average recognition accuracies of 77.19%for HA/LA and 79.06%for HV/LV are obtained,which demonstrates that the proposal is feasible in EEG emotion recognition.

关键词： Emotion recognition Electroencephalogram Stacking model Renyi entropy

来源：评论

学校读者我要写书评

暂无评论

Hierarchical Prediction Model Based on BP Neural Network for Predicting CO/CO2 in Iron Ore Sintering Process

Hierarchical Prediction Model Based on BP Neural Network for...

引用

第37届中国控制会议

作者： Ben Xu Xin Chen Yang Zhou School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

The sintering process is one of the most energy-consuming processes in steelmaking, its carbon fuel consumption accounts for 8% to 10% in the steel production *** find ways of reducing the energy consumption, it is necessary to predict the carbon efficiency. The value of CO/CO in the carbon emission can reflect the utilization of carbon combustion in sintering process. In this study, the CO/CO is taken to be a measure of carbon efficiency and a hierarchical model is built to predict it. Firstly, the physical and chemical reactions and the carbon flow mechanism in the sintering process are analyzed, and the process parameters that affect the CO/CO are determined. Then, the gray relational analysis method is used to analyze the influence factors to determine the relationship between the parameters, and a hierarchical predictive model for CO/CO is established based on the relationship between the parameters. The hierarchical predictive model is divided into two parts: the predictive models for the thermal state parameters and the predictive model for CO/CO. The inputs of the predictive models for the thermal state parameters are the raw material parameters and the operating parameters, and the inputs of the predictive model for CO/CO are the predicted values of the predictive models for the thermal state parameters. Finally, the simulation results verify the effectiveness of the proposed modeling method. This method can provide a theoretical basis for the optimization and control of carbon efficiency in the sintering process.

关键词： carbon efficiency sintering process back-propagation neural network（BPNN）

来源：评论

学校读者我要写书评

暂无评论

R-H Measurement System Based on Anomalous Hall Effect Devices

R-H Measurement System Based on Anomalous Hall Effect Device...

引用

第37届中国控制会议

作者： Zhenyu Yuan Kaifeng Dong Laizhe Zhu Junlei Song Fang Jin Wenqin Mo School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

With the application of magnetic thin films becoming more and more widespread,people pay more and more attention to the performance *** order to obtain a magnetic film with a specific performance,it is very important to judge the quality of the magnetic film and measure the magnetic properties of the ***,with the increase of the film preparation process,the thickness of the prepared film is getting thinner and the magnetic moment signal contained therein is also *** brings a certain degree of difficulty to the traditional measurement *** example,the VSM system that obtains the hysteresis loop by measuring the magnetic moment signal has become somewhat inadequate for the measurement of ultra-thin *** order to solve this issue,a new method based on anomalous Hall effect is introduced in this *** test system of this system adopts the four-probe measuring method,a constant current is applied across the surface of the film sample,and the abnormal Hall voltage is measured at the other two *** R-H curve of the sample can be obtained through *** compared to VSM measurement,this method is simpler and stable,more accurate,which can greatly reduce the anomalous Hall-effect device R-H characteristic measurement cost.

关键词： anomalous Hall effect R-H measurement measurement system

来源：评论

学校读者我要写书评

暂无评论

Finite-time H∞ state estimation for discrete time-delayed stochastic switched genetic regulatory networks with uncertain sojourn probabilities

Finite-time H∞ state estimation for discrete time-delayed s...

引用

第37届中国控制会议

作者： REN Chuanyu WAN Xiongbo School of Automation China University of Geosciences Hubei Key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

This paper investigates the problem of finite-time H∞ state estimation for discrete-time stochastic switched genetic regulatory networks（GRNs） with time-varying delays and exogenous disturbances. A new discrete time-delayed stochastic switched GRN model with uncertain sojourn probabilities is devised, which is more general than the switched GRNs model with completely known sojourn probabilities. The sufficient conditions which guarantee the stochastic finite-time boundedness of the estimation error dynamics with a prescribed H∞ disturbance attenuation level are derived. By solving several matrix inequalities,the state estimator parameters can be obtained. A numerical example is given to illustrate the effectiveness of our results.

关键词： Genetic regulatory networks（GRNs） Finite-time H∞ state estimation Uncertain sojourn probabilities

来源：评论

学校读者我要写书评

暂无评论

Dense Depth Estimation with Absolute Scale

Dense Depth Estimation with Absolute Scale

引用

第37届中国控制会议

作者： Xing Jin Zhiwen Yao Jingjing Zhang School of Automation China University of Geosciences Hubei key Laboratory of Advanced Control and Intelligent Automation for Complex Systems

Considering the difficulties in estimating depth from single image, in this paper, we propose a method to obtain the absolute scale depth map by combining the convolution neural network and depth filter. We compute relative transformation between consecutive frames by direct tracking features, which are extracted from RGB images and whose depthes are predicted by deep network, and then optimize relative motion by searching for a better feature alignment in epipolar line, and finally update every pixel depth of the reference frame by depth filter. We evaluate the proposed method on the open dataset comparison against the state of the art in depth estimation to evaluate our method.

关键词： Depth Estimation Pose Estimation Depth Filter

来源：评论

学校读者我要写书评

暂无评论

没有更多数据了...

全选清除本页清除全部题录导出标记到“检索档案”

共123页 << < 96 97 98 99 100 101 102 103 104 105 > >>

检索报告对象比较合并检索0

隐藏清空

合并搜索

回到顶部

执行限定条件

内容：

评分：

请选择保存的检索档案：

请选择收藏分类：

订阅名称：

通借通还

温馨提示：

图书名称：

借书校区：

取书校区：

手机号码：

邮箱地址：

一卡通帐号：

电话和邮箱必须正确填写，我们会与您联系确认。

联系人：

所在院系：

联系邮箱：

联系电话：

内蒙古自治区呼和浩特市赛罕区大学西街235号邮编: 010021

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：