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

281 篇 会议
134 篇 期刊文献

馆藏范围

415 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

371 篇 工学
- 190 篇 计算机科学与技术...
- 123 篇 控制科学与工程
- 99 篇 电气工程
- 75 篇 软件工程
- 54 篇 机械工程
- 53 篇 信息与通信工程
- 37 篇 材料科学与工程（可...
- 32 篇 仪器科学与技术
- 13 篇 电子科学与技术（可...
- 13 篇 网络空间安全
- 10 篇 力学（可授工学、理...
- 8 篇 石油与天然气工程
- 7 篇 动力工程及工程热...
- 7 篇 土木工程
- 7 篇 环境科学与工程（可...
- 6 篇 水利工程
- 6 篇 公安技术
- 5 篇 交通运输工程
- 4 篇 冶金工程
- 4 篇 建筑学
83 篇 管理学
- 82 篇 管理科学与工程(可...
76 篇 理学
- 28 篇 数学
- 23 篇 物理学
- 13 篇 化学
- 8 篇 地球物理学
- 7 篇 系统科学
10 篇 医学
- 9 篇 临床医学
5 篇 经济学
- 5 篇 应用经济学
5 篇 教育学
- 5 篇 教育学
5 篇 艺术学
- 5 篇 设计学（可授艺术学...
2 篇 农学
1 篇 文学

主题

415 篇 bp algorithm
111 篇 neural network
32 篇 artificial neura...
27 篇 genetic algorith...
18 篇 fault diagnosis
15 篇 neural networks
12 篇 artificial neura...
10 篇 particle swarm o...
9 篇 ann
9 篇 ldpc codes
8 篇 fuzzy neural net...
8 篇 prediction model
7 篇 fuzzy control
7 篇 bp neural networ...
6 篇 prediction
6 篇 pattern recognit...
5 篇 mlp
5 篇 ldpc
5 篇 modeling
5 篇 matlab

机构

3 篇 tsing hua univ d...
2 篇 univ sci & techn...
2 篇 shanghai univ en...
2 篇 pearl river hydr...
2 篇 xian eurasia uni...
2 篇 univ chinese aca...
2 篇 henan univ sci &...
2 篇 institute of geo...
2 篇 institute of sem...
2 篇 northwestern pol...
2 篇 amirkabir univ t...
2 篇 beijing inst tec...
2 篇 department of ap...
2 篇 school of manage...
2 篇 univ sci & techn...
2 篇 qingdao univ sci...
2 篇 chinese acad sci...
2 篇 department of me...
2 篇 yanshan univ col...
2 篇 school of civil ...

作者

3 篇 gui zl
3 篇 li lt
2 篇 yueguang li
2 篇 liu bo
2 篇 pan hao
2 篇 guo ruiqing
2 篇 li li
2 篇 zhu dd
2 篇 gui lin
2 篇 zhang min
2 篇 ge y
2 篇 pan yx
2 篇 zhang jb
2 篇 wang tao
2 篇 liu lei
2 篇 xie hong
2 篇 chen yan
2 篇 yu chien-cheng
2 篇 zhang hong
2 篇 zeng yujuan

语言

368 篇 英文
34 篇 中文
13 篇 其他

检索条件"主题词=Bp algorithm"

共 415 条记录，以下是241-250 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：

Land suitability evaluation based on artificial neural network

Land suitability evaluation based on artificial neural netwo...

引用

3rd International Symposium on Multispectral Image Processing and Pattern Recognition

作者： Liu, YL Molenaar, M Liu, YF Jiao, LM Wuhan Univ Sch Resource & Environm Sci Wuhan 430079 Peoples R China

ISBN: (纸本)0819451819

Artificial Neural Networks (ANN) has many good qualities comparing with ordinary methods in Land Suitability Evaluation. Based on analysis of ordinary methods' limitations, some sticking points of bp model of ANN used in land evaluation are discussed in detail, such as network structure, learning algorithm, etc. The land evaluation of Qionghai city is used as a case study. we know that ANN always can give more reasonable evaluation results from test.

关键词： ANN bp networks bp algorithm land suitability evaluation

来源：评论

学校读者我要写书评

暂无评论

Fuzzy Neural Network Control of The Garbage Incinerator 2

Fuzzy Neural Network Control of The Garbage Incinerator

引用

2nd International Conference on Information Science and Control Engineering

作者： Yu Xiao-hong Yang Zhu-zhong Yang Tao Chengdu Univ Sch Elect Informat Engn Chengdu 610106 Peoples R China Chengdu Univ Ctr Expt Technol Chengdu 610106 Peoples R China

ISBN: (纸本)9781467368506

In order to solve the problem of garbage treatment effectively, a control method is proposed based on Takagi-Sugeno (T-S) fuzzy neural network model after analyzing the characteristics of garbage incinerators system and the main factors affecting combustion. A T-S fuzzy neural network model for garbage incinerators control is established which utilizes bp learning algorithm for data training. Then a simulation research is carried out to verify the feasibility and superiority. Results show that the T-S fuzzy neural network control can well track the input in a relative short time. The contrast analysis with conventional PID control and fuzzy control is done to show a better performance under the fuzzy neural network control. The fuzzy neural network control method can adapt to the complex garbage incineration process, which makes it high application value.

关键词： Garbage Incineration T-S Fuzzy neural network bp algorithm

来源：评论

学校读者我要写书评

暂无评论

NNPID applied in the hydraulic AGC system 6

NNPID applied in the hydraulic AGC system

引用

6th International Conference on Fluid Power Transmission and Control (ICFP 2005)

作者： Wang, YQ Wang, HF Zhang, W Zhu, DD Yanshan Univ Coll Mech Engn Qinhuangdao Peoples R China

ISBN: (纸本)7506274027

A new neural network PID (NNPID) controller, which is based on PID by means of neural network's ability of self-learning and adaptive, is presented. The NNPID controller is designed by combining neural network with PID control strategy. Additional momentum method, that is an improved bp algorithm, is used in the neural network is analyzed. This paper presents the control for the highly nonlinear, time-varying hydraulic AGC of rolling mills based on the NNPID controller. The simulation shows that the dynamic quality of the system is improved, and NNPID has good adaptability.

关键词： PID control Neural Network bp algorithm hydraulic AGC

来源：评论

学校读者我要写书评

暂无评论

Generation and Optimization of Elastic Extension Rules Based on Cloud Computing

Generation and Optimization of Elastic Extension Rules Based...

引用

International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS)

作者： Wu DaQin Wang Shanshan Jilin Businees & Technol Coll Dept Informat Engn Changchun Jilin Peoples R China

ISBN: (纸本)9781509060610

With the cloud computing development, elastic scaling capability is an important factor to ensure the quality of cloud services. In this paper, the author designed resource requirement model about web system based on neural network under the certain quality of service on cloud platforms. According to the model, the method and mechanism for elastic scaling is realized by bp algorithm on cloud platforms.

关键词： Elasticity Cloud Computing bp algorithm Neural Network

来源：评论

学校读者我要写书评

暂无评论

Application of the Artificial Neural Networks in Strip Shape Defect Identification

Application of the Artificial Neural Networks in Strip Shape...

引用

2nd International Symposium on Test Automation and Instrumentation

作者： An Shiqi Qingdao Univ Sci & Technol Automat & Elect Engn Inst Qingdao 266042 Peoples R China

ISBN: (纸本)9787506292207

An intelligent pattern recognition used artificial neural networks is presented in this paper to meet the requirement of controlling stripe shape in cold rolling. The cold-rolled products are characterize into several types based on its irregularity, 'left wave', 'right wave', 'center buckle', 'edge wave', 'W-type', and 'M-type'. The developed identification algorithm calculates for each type of irregular strip shape using neural network and experiment data. The work is studied by taking a double-stand reversing cold rolling mill as example. The method improves the speed and the accuracy of strip shape identification.

关键词： Strip shape defect identification artificial neural networks bp algorithm reversing cold rolling mill

来源：评论

学校读者我要写书评

暂无评论

The back propagation neural network model of non-periodic defected ground structure

The back propagation neural network model of non-periodic de...

引用

Global Symposium on Millimeter Waves

作者： Li Yuan Liu Jiao Ye Chunhui Tianjin Univ Sch Elect Informat Engn Tianjin 300072 Peoples R China

ISBN: (纸本)9781424418855

Presently, electromagnetic field numerical value analysis methods such as finite difference time-domain (FDTD) method are generally used to calculate the DGS, although these methods are accurate, they are also computationally expensive. In this paper, a neural network model of a novel defected ground structure is established. Since the neural network model has the advantages of great precision and effectiveness, the developed design model can be used to take the place of the FDTD method of the DGS, being a kind of aid tool of circuit design. The neural network models of two different non-periodic DGS have been developed, at the same time the circuit of the according DGS is designed and manufactured. The result of computer simulation and product measurements are obtained to demonstrate the effectiveness of the method.

关键词： neural network non-periodic DGS bp algorithm

来源：评论

学校读者我要写书评

暂无评论

IMPROVED algorithm OF THE BACK PROPAGATION NEURAL NETWORK AND ITS APPLICATION IN FAULT DIAGNOSIS OF AIR-COOLING CONDENSER

IMPROVED ALGORITHM OF THE BACK PROPAGATION NEURAL NETWORK AN...

引用

7th International Conference on Wavelet Analysis and Pattern Recognition

作者： Li, Yong Fu, Yang Zhang, Si-Wen Li, Hui NE Dianli Univ Sch Energy Resources & Mech Engn Jilin 132012 Peoples R China

ISBN: (纸本)9781424437276

This paper addresses the application of neural network to air-cooling condenser faults diagnosis. For traditional Back Propagation (bp) neural network algorithm, the learning rate selection is depended on experience and trial. In this paper, an improved bp neural network algorithm with self adaptive learning rate is proposed using the fundamental equation. Unlike existing algorithm, self adaptive learning rate depends on only network topology, training samples, average quadratic error and error curve surface gradient but not artificial selection. The train results show iteration times is less than that of traditional algorithm with constant learning rate and it is a feasible method to diagnose air-cooling condenser faults.

关键词： Artificial neural network bp algorithm Steam turbine Air- cooling condenser Fault diagnosis

来源：评论

学校读者我要写书评

暂无评论

Image Transmission with UEP-LT over MIMO Channels

Image Transmission with UEP-LT over MIMO Channels

引用

22nd Wireless and Optical Communications Conference (WOCC)

作者： Zhang, Wuping Jing, Xiaorong Zhang, Zufan Chen, Qianbin Chongqing Univ Posts & Telecommun Chongqing Key Lab Mobile Commun CQUPT Chongqing Peoples R China

ISBN: (纸本)9781467356978;9781467356992

The Luby Transform (LT) codes have been suggested as an efficient solution for multimedia communications over erasure packet network, and provide equal error protection (EEP) for all input symbols. However, for the progressive image transmission, the significant source bits are generally located ahead of the bit streams of the encoder output, which are more important for the reconstruction of the image. Therefore, the LT codes based on EEP (EEP-LT) scheme is not suitable for the progressive image transmission. In the paper, based on the LT codes, a novel unequal error protection (UEP) scheme is proposed for image transmission over multiple input multiple output (MIMO) channels, which is named UEP-LT scheme. Simulation results confirm the efficiency of the proposed scheme.

关键词： MIMO progressive source LT codes bp algorithm unequal error protection

来源：评论

学校读者我要写书评

暂无评论

New Research on Harmonic Detection Based on Neural Network for Power System

New Research on Harmonic Detection Based on Neural Network f...

引用

3rd International Symposium on Intelligent Information Technology Application

作者： Chen Ying Lin Qingsheng Nanchang Univ Sch Informat Engn Nanchang Peoples R China

ISBN: (纸本)9780769538594

Analysis and control for power quality by neural network is a new research field in electrical power system. Rapid and reliable extract the harmonic components determine the overall performance of Active Power Filter (APF). This paper presents a new three-layer feedforward neural network based on error back-propagation algorithm that the training sample without time delay, which can detecting harmonics for power system in real-time. With the simulation study using Mat lab, the simulation results illustrate that the harmonic detection method based on neural network is feasible, which can quickly detecting the harmonics for nonlinear load.

关键词： harmonics detection APF feedforward neural network bp algorithm

来源：评论

学校读者我要写书评

暂无评论

Application of combinatorial probabilistic neural network in fault diagnosis of power transformer

Application of combinatorial probabilistic neural network in...

引用

6th International Conference on Machine Learning and Cybernetics

作者： Liang, Yong-Chun Sun, Xiao-Yun Liu, Dong-Hui Sun, Hui-Qin Hebei Univ Sci & Technol Dept Elect Engn Shijiazhuang 050054 Peoples R China

ISBN: (纸本)9781424409723

Probabilistic Neural Network (PNN) overcame the shortcomings of entrapment in local optimum, slow convergence rate which was in bp algorithm. With enough training samples, PNN obtained the optimal result of Bayesian rules. Because of the fast training rate, the training samples can be added into PNN at any time. So, PNN is fit to diagnose the fault of power transformer and has auto-adaptability. In order to improve the classification accuracy, the conception of combination is introduced into PNN. The fault diagnosis of power transformer is consisted of 4 Probability neural networks in this paper. PNN1 is used to classify the normal and fault. PNN2 is used to classify the heat fault and partial discharge (PD) fault. PNN3 is used to classify the general overheating fault and severe overheating fault. PNN4 is used to classify the partial discharge fault, and energy sparking or arcing fault. The example shows that the effect of combinatorial PNN is a good classifier in the fault diagnosis of power transformer. The combinatorial PNN has better diagnosis accuracy than bpNN and FUZZY algorithm.

关键词： probabilistic neural network bp algorithm Bayesian rules diagnosis power transformer

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42页 << < 21 22 23 24 25 26 27 28 29 30 > >>

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：