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

180 篇 会议
113 篇 期刊文献
2 篇 学位论文

馆藏范围

295 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

272 篇 工学
- 149 篇 计算机科学与技术...
- 103 篇 电气工程
- 42 篇 控制科学与工程
- 36 篇 信息与通信工程
- 33 篇 机械工程
- 25 篇 软件工程
- 16 篇 仪器科学与技术
- 15 篇 材料科学与工程（可...
- 10 篇 石油与天然气工程
- 8 篇 电子科学与技术（可...
- 7 篇 生物医学工程（可授...
- 6 篇 动力工程及工程热...
- 4 篇 光学工程
- 4 篇 土木工程
- 4 篇 交通运输工程
- 4 篇 环境科学与工程（可...
- 3 篇 力学（可授工学、理...
- 3 篇 水利工程
- 3 篇 测绘科学与技术
- 3 篇 化学工程与技术
57 篇 理学
- 21 篇 物理学
- 12 篇 化学
- 12 篇 生物学
- 10 篇 数学
- 6 篇 地球物理学
- 3 篇 系统科学
28 篇 管理学
- 27 篇 管理科学与工程(可...
10 篇 医学
- 9 篇 临床医学
3 篇 经济学
- 2 篇 应用经济学
2 篇 教育学
2 篇 农学
2 篇 艺术学

主题

295 篇 adaboost algorit...
48 篇 face detection
14 篇 machine learning
13 篇 haar-like featur...
10 篇 support vector m...
10 篇 feature extracti...
10 篇 feature selectio...
9 篇 pedestrian detec...
8 篇 integral image
8 篇 cascade classifi...
7 篇 face recognition
7 篇 haar-like featur...
6 篇 svm
6 篇 learning (artifi...
6 篇 genetic algorith...
6 篇 bp neural networ...
6 篇 skin color segme...
5 篇 object detection
5 篇 ensemble learnin...
5 篇 haar features

机构

3 篇 chinese acad sci...
3 篇 hexi univ inform...
2 篇 xidian univ sch ...
2 篇 southeast univ s...
2 篇 school of inform...
2 篇 hubei univ appl ...
2 篇 hunan univ coll ...
2 篇 univ chinese aca...
2 篇 beijing univ tec...
2 篇 ocean univ china...
2 篇 harbin univ sci ...
2 篇 mizoram univ aiz...
2 篇 artillery traini...
2 篇 beijing forestry...
2 篇 chinese acad sci...
2 篇 xidian univ sch ...
2 篇 nanjing univ pos...
2 篇 changan univ sch...
2 篇 dalian maritime ...
2 篇 institute of aut...

作者

3 篇 chen yong
3 篇 liao shaowen
2 篇 zhang xiangdong
2 篇 zhang lei
2 篇 teng-hui tseng
2 篇 wang jing
2 篇 zhang dandan
2 篇 song juan
2 篇 liu chong
2 篇 zhang ling
2 篇 chetri rahul lam...
2 篇 roy rajesh
2 篇 fan xiao
2 篇 li song
2 篇 anjali c.
2 篇 deb subhasish
2 篇 duan shutong
2 篇 wu xue-hua
2 篇 lin guichao
2 篇 zhang yan

语言

277 篇 英文
9 篇 其他
7 篇 中文
1 篇 法文
1 篇 土耳其文

检索条件"主题词=adaboost algorithm"

共 295 条记录，以下是121-130 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：

Severe Major Depression Disorders Detection Using adaboost-Collaborative Representation Classification Method

Severe Major Depression Disorders Detection Using AdaBoost-C...

引用

International Conference on Sensing, Diagnostics, Prognostics, and Control (SDPC)

作者： Zhang, Jingwen Yin, Haochen Wang, Jinfang Luan, Shuxin Liu, Chang Jilin Univ Commun Engn Coll Changchun 130012 Jilin Peoples R China Harbin Inst Technol Sch Elect & Informat Engn Harbin 150001 Heilongjiang Peoples R China Jilin Univ Hosp 1 Dept Mental Hlth Changchun 130021 Jilin Peoples R China

ISBN: (纸本)9781538660577

Depression has become one of the most common psychological diseases, speech-based depression detection and severity recognition is a new trend in recent years. However, data insufficient issue and the significant imbalance among the different classes are the main challenge in the area at present. To solve the problem of sample insufficient and class imbalanced, this paper combines adaboost and collaborative representation (adaboost-CRC) to detect Severe Major Depression Disorders (SMDD). Firstly, Mel-Frequency Cepstral Coefficient (MFCCs) were extracted from the subject's speech;Then, aiming at the data imbalance issue, adaboost-CRC classifier structure was created in which adaboost was used to discriminate the result of each weak classifier according to its weight. The experimental framework of leave-one-speaker-out cross validation was adopted to assess the method's performance. The evaluation data comes from the Audio/Emotion Challenge and Workshop (AVEC) 2013 dataset. Experimental results show that the accuracy and sensitivity of adaboost-CRC are better than CRC's.

关键词： major depression disorders adaboost algorithm collaborative representation small sample size class imbalance

来源：评论

学校读者我要写书评

暂无评论

Fault Diagnosis Of Analogue Circuits Using Hyper-sphere SVM and adaboost

Fault Diagnosis Of Analogue Circuits Using Hyper-sphere SVM ...

引用

2nd International Symposium on Computational Intelligence and Design

作者： Liu, Chong Zhang, Jundong Ren, Guang Dalian Maritime Univ Marine Engn Coll Dalian Peoples R China

ISBN: (纸本)9780769538655

In order to solve the problems of correctly identifying fault classes in fault diagnosis of analogue circuit and improve classification ability, a fault diagnosis method for analog circuits based on adaboost algorithm and Hyper-Sphere Support Vector Machine (Hyper-sphere SVM) is developed in this paper. This algorithm uses Hyper-sphere SVMs as weak learners of adaboost and use adaboost algorithm to improve the accuracy of weak learners. Simulation results of diagnosing an analog circuit show us the proposed technique has the higher classification accuracy compared with Support Vector Machine and has confirmed the validity of the method.

关键词： adaboost algorithm Hyper-sphere SVM Fault diagnosis of analogue circuits

来源：评论

学校读者我要写书评

暂无评论

Infinite adaboost and Its Application on Fault Diagnosis for Analog Circuits

Infinite AdaBoost and Its Application on Fault Diagnosis for...

引用

2nd International Conference on Manufacturing Science and Engineering

作者： Wang, Hexun Liu, Chong Sun, Yuqing Dalian Maritime Univ Marine Engn Coll Dalian 116026 Peoples R China

ISBN: (纸本)9783037850398

adaboost algorithm can achieve better performance by averaging over the predictions of some weak hypotheses. To improve the power of classification ability of adaboost, an infinite ensemble learning framework based on the Support Vector Machine was formulated. The framework can output an infinite adaboost through embedding infinite hypotheses into a new kernel of Support Vector Machine. The stump kernel embodies infinite decision stumps. At last, the algorithm was used in fault diagnosis for analog circuits. Experimental results show that infinite adaboost with Support Vector Machine is superior than finite adaboost with the same base hypothesis set. The purpose of enhancing classification accuracy of adaboost algorithm is achieved.

关键词： adaboost algorithm SVM Stump Kernel Hyper-Plane Classification Accuracy

来源：评论

学校读者我要写书评

暂无评论

The Transformer Fault Diagnosis Based on adaboost Least Square Support Vector Machine

The Transformer Fault Diagnosis Based on AdaBoost Least Squa...

引用

Chinese Intelligent Systems Conference (CISC)

作者： Du, Wenxia Zhao, Xiuping Lv, Feng Du, Hailian Hebei Normal Univ Coll Vocat & Tech Shijiazhuang Peoples R China

ISBN: (纸本)9789811023385;9789811023378

Least square support vector machine integrated with adaptive boost algorithm was applied to the transformer fault diagnosis. In order to obtain the training sample, characteristic gases dissolved in the faulty transformer oil were collected and normalized, then a number of different classifiers are to be constructed though adaptive boost algorithm on the same training set. Subsequently, least squares support vector machine is used as the base classifier, which was fast in calculation and was improved by iteration in classification ability. The fault diagnosis results show that the method was simple and flexible, it has high accuracy rate of fault diagnosis. To a certain extent, this method makes up for the deficiencies of three-ratio method, such as code missing and boundary absolute.

关键词： adaboost algorithm Support vector machine Fault diagnosis

来源：评论

学校读者我要写书评

暂无评论

Application of an Improved BP-adaboost Model in Semiconductor Quality Prediction

Application of an Improved BP-AdaBoost Model in Semiconducto...

引用

IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics (PRECEDE)

作者： Chang, Liu Rong, Hua Shanghai Inst Technol Coll Elect & Elect Engn Shanghai Peoples R China

ISBN: (纸本)9781538694145

The semiconductor production data is typically complex, nonlinear and high-dimension, and the traditional post-sampling quality inspection often have large errors and will bring the economic losses caused by defective products. Based on machine learning technologies, this research is aimed to establish the proper model to predict semiconductor quality in advance. Based on the requirements of actual production, the BP neural network and adaboost algorithm are combined, and a new BP-AdqBoost model is proposed after optimizing the adaboost algorithm. The data of LCD Monitor production was analyzed. Then the improved BP-AdqBoost model, BP neural network, and the unmodified BP-adaboost prediction results are compared by prediction accuracy and reliability. The comparison shows that the improved BP-AdqBoost model can not only improve the prediction accuracy, but also strengthen the prediction reliability, which would be useful to the practical semiconductor production.

关键词： BP neural network adaboost algorithm semiconductor

来源：评论

学校读者我要写书评

暂无评论

Pedestrian Detection Approach Based on Modified Haar-Like Features and adaboost

Pedestrian Detection Approach Based on Modified Haar-Like Fe...

引用

12th International Conference on Control, Automation and Systems (ICCAS)

作者： Hoang, Van-Dung Vavilin, Andrey Jo, Kang-Hyun Univ Ulsan Sch Elect Engn Muger Dong South Korea

ISBN: (纸本)9788993215045

Pedestrian detection is an important task in many applications such as intelligent transportation systems, image retrieval, surveillance systems, automated personal assistance, etc. This paper proposes a set of modified Haar-like features that have parallelogram shapes. Using the proposed feature descriptors to develop a rapid detection system for pedestrian detection based on decision tree structure used boosting algorithm. The experimental results showed that the proposed method could produce high accuracy detection rate with lower false positive rate and higher recall rate than original Haar-like features and it is efficiency with different resolutions and gestures under a variety of backgrounds as well as lighting.

关键词： adaboost algorithm modified Haar-like features pedestrian detection

来源：评论

学校读者我要写书评

暂无评论

A Combination Forecasting Model Based on adaboost_GRNN in Depth- Averaged Currents Using Underwater Gliders

A Combination Forecasting Model Based on AdaBoost_GRNN in De...

引用

Global OCEANS Singapore - U.S. Gulf Coast Conference

作者： Zhang, Runfeng Wang, Yanhui Yang, Shaoqiong Wang, Shuxin Ma, Wei Tianjin Univ TJU Sch Mech Engn Tianjin 300350 Peoples R China Pilot Natl Lab Marine Sci & Technol Qingdao Qingdao 266237 Shandong Peoples R China

ISBN: (纸本)9781728154466

In this paper, a novel combination method based on the adaboost algorithm and the general regression neural network (GRNN) is proposed to predict the depth-averaged current (DAC) for the next profile using the underwater gliders (UGs). Firstly, considering changes of the seawater density and the hull deformation, the velocity calculation model of UGs and the calculation method of DAC are given. Secondly, two DAC forecasting models are established with historical data using the support vector machine (SVM) and the back-propagation neural network (BPNN) methods, respectively. Then, the forecasting models are combined nonlinearly by adopting the GRNN. Finally, outputs from the GRNN are combined using the adaboost algorithm, which further taken for the DAC forecasting. A sea trial was conducted using Petrel-II glider in the South China Sea, which verified the accuracy of the three forecasting models. Results demonstrate that the proposed combination method has a better performance in DAC forecasting than the other two single forecasting models.

关键词： Underwater glider adaboost algorithm depth-averaged current combination forecasting model

来源：评论

学校读者我要写书评

暂无评论

Face Detection Based on adaboost and Face Contour in E-learning

Face Detection Based on Adaboost and Face Contour in E-learn...

引用

9th International Conference on Natural Computation (ICNC)

作者： Wang, Wansen Peng, Yaya Capital Normal Univ Inst Informat Engn Beijing 100037 Peoples R China

ISBN: (纸本)9781467347143

The background of this paper is the learners' expression recognition in E-learning. In the paper, the method of the face detection based on the adaboost algorithm and a set of haar wavelet like features. To improve the performance of the detectors, the face-contour is combined with the adaboost. The experimental results demonstrate that it can find the position of the detected faces of learners in E-learning accurately.

关键词： E-learning Face detection adaboost algorithm Face contour

来源：评论

学校读者我要写书评

暂无评论

An Efficient adaboost and CNN Hybrid Model for Weed Detection and Removal

An Efficient AdaBoost and CNN Hybrid Model for Weed Detectio...

引用

2023 IEEE International Conference on Research Methodologies in Knowledge Management, Artificial Intelligence and Telecommunication Engineering, RMKMATE 2023

作者： Tiwari, Shivam Srivastava, Anurag Kumar Rathore, Yogesh Singh Vats, Satvik Rastogi, Ashish Kumar Department of Computer Science & Engineering Sharda University Greater Noida India Computer Science and Application Sharda University Greater Noida India

ISBN: (纸本)9798350305708

With the aid of AI-based methods like convolution neural networks, this article seeks to enhance weed detection and removal. A plant that is not wanted and is growing wild, especially one that does so on cultivated land and produces a low crop yield, is referred to as weed. In order to increase production in agriculture, it is essential to have a strong and positive weed identification and removal. This paper suggested a weed control programme for wheat fields indicated on the RGB combination of image elements with essential attributes due to the low weed control rate and availability of inefficient weed removal approaches in the wheat sector. adaboost estimation and the CNN model are combined to enhance the performance of the weed distinguishing proof. The approach tests the bounds of the 2-D topographical from RGB images while seeing wheat-like grass weeds. The accuracy of the test results displayed by the algorithm during the process was 94.7%. In comparison to previously employed methods, the combination of both algorithms used provides a high degree of accuracy in the estimation of various types of weeds. © 2023 IEEE.

关键词： adaboost algorithm Convolutional Neural Network (CNN) Depth features Feature Extraction weed

来源：评论

学校读者我要写书评

暂无评论

A Multi-Temporal and Spatial Scale Accurate Prediction Method for New Energy Power Based on BP adaboost Neural Network 4

A Multi-Temporal and Spatial Scale Accurate Prediction Metho...

引用

4th International Conference on Energy Engineering and Power Systems, EEPS 2024

作者： Ye, Zhengdeng Chen, Jing Duan, Zaichao Tu, Zhekai Wu, Peng Yan, Qibo High-tech Clean Energy Branch of Jiangxi Electric Power Co. LTD. National Power Investment Group Nanchang330096 China Co. Ltd Beijing100192 China

ISBN: (纸本)9798350366914

In order to achieve a stable operation and optimized scheduling of new energy power systems, this study proposes a multi-temporal and spatial scale accurate prediction method for new energy power based on the BP adaboost neural network. This approach seamlessly integrates the robust fitting capabilities of the BP neural network and the ensemble learning advantage of the adaboost algorithm to cope with the randomness, intermittency, and volatility of new energy output. By comprehensively considering the influencing factors at different time and spatial scales, this method can more comprehensively reflect the changing patterns of new energy power. The experimental findings demonstrate that this method has attained noteworthy outcomes in bolstering prediction accuracy and enhancing model generalization ability. © 2024 IEEE.

关键词： adaboost algorithm BP neural network Multi temporal and spatial scales New energy systems Power prediction

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30页 << < 9 10 11 12 13 14 15 16 17 18 > >>

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：