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

1,679 篇 会议
215 篇 期刊文献

馆藏范围

1,894 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

317 篇 工学
- 160 篇 计算机科学与技术...
- 157 篇 电气工程
- 61 篇 控制科学与工程
- 46 篇 电子科学与技术（可...
- 30 篇 软件工程
- 21 篇 信息与通信工程
- 14 篇 机械工程
- 12 篇 仪器科学与技术
- 7 篇 生物医学工程（可授...
- 6 篇 测绘科学与技术
- 4 篇 材料科学与工程（可...
- 4 篇 动力工程及工程热...
- 4 篇 核科学与技术
- 3 篇 力学（可授工学、理...
- 3 篇 生物工程
- 3 篇 网络空间安全
- 2 篇 石油与天然气工程
- 2 篇 船舶与海洋工程
- 2 篇 航空宇航科学与技...
52 篇 理学
- 15 篇 物理学
- 13 篇 系统科学
- 10 篇 数学
- 6 篇 地球物理学
- 4 篇 生物学
- 2 篇 化学
40 篇 管理学
- 38 篇 管理科学与工程(可...
14 篇 医学
- 10 篇 临床医学
- 4 篇 基础医学(可授医学...
- 2 篇 特种医学
4 篇 农学
- 3 篇 作物学
2 篇 军事学
1 篇 文学
1 篇 艺术学

主题

1,894 篇 backpropagation ...
1,269 篇 neural networks
462 篇 artificial neura...
453 篇 neurons
327 篇 multi-layer neur...
297 篇 convergence
289 篇 feedforward neur...
211 篇 multilayer perce...
197 篇 computer network...
191 篇 testing
126 篇 algorithm design...
125 篇 pattern recognit...
122 篇 computer science
119 篇 intelligent netw...
112 篇 recurrent neural...
110 篇 equations
106 篇 training data
106 篇 fuzzy neural net...
100 篇 signal processin...
99 篇 control systems

机构

12 篇 school of electr...
11 篇 department of el...
9 篇 department of el...
7 篇 department of el...
5 篇 at and t bell la...
5 篇 computer science...
5 篇 faculty of engin...
4 篇 school of inform...
4 篇 department of el...
4 篇 department of el...
4 篇 center for infor...
4 篇 departamento de ...
4 篇 center for robot...
4 篇 department of co...
4 篇 departamento de ...
4 篇 department of el...
4 篇 esstt tunis tuni...
3 篇 international co...
3 篇 department of co...
3 篇 department of el...

作者

13 篇 wen yu
9 篇 n.j. bershad
8 篇 k. nakayama
8 篇 k.y. lee
7 篇 h.k. kwan
7 篇 j.c. principe
7 篇 j.j. shynk
6 篇 w.c. miller
6 篇 n.k. loh
6 篇 m.t. hagan
6 篇 p. saratchandran
6 篇 chin-teng lin
6 篇 xiaoou li
6 篇 k. hirasawa
6 篇 n. sundararajan
5 篇 g.v. puskorius
5 篇 l.a. feldkamp
5 篇 f. fnaiech
5 篇 f. piazza
5 篇 d.w. tufts

语言

1,791 篇 英文
96 篇 其他
7 篇 中文

检索条件"主题词=Backpropagation algorithms"

共 1894 条记录，以下是1811-1820 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：

Sparseness Points Cloud Data Surface Reconstruction Based on Radial Basis Function Neural Network (RBFNN) and Simulated Annealing Arithmetic

Sparseness Points Cloud Data Surface Reconstruction Based on...

引用

International Conference on Computational Intelligence and Security Workshops (CISW)

作者： Xue-mei Wu Gui-xian Li Wei-min Zhao School of Mechanical and Electrical Engineering Harbin Institute of Technology Harbin China Department of Mechanical Engineering Daqing Petroleum University Daqing China

A novel neural network arithmetic was employed in sparseness points cloud data surface interpolation and reconstruction. Radial basis function neural network and simulated annealing arithmetic was combined. The new arithmetic can approach any nonlinear function by arbitrary precision, and also keep the network from getting into local minimum. Global optimization feature of simulated annealing was employed to adjust the network weights. MATLAB program was compiled, experiments on sparseness points cloud data have been done employing this arithmetic, the result shows that this arithmetic can efficiently approach the surface with 10 -4 mm error precision, and also the learning speed is quick and reconstruction surface is smooth. Different methods have been employed to do surface reconstruction in comparison, the sum squared error is 6.7times10 -8 mm employing the algorithmic proposed in the paper, the one is 1.34times10 -6 mm with same parameters employing radial basis function neural network. backpropagation learning algorithm network does not converge until 3500 iterative procedure.

关键词： Clouds Surface reconstruction Radial basis function networks Simulated annealing Arithmetic Iterative algorithms backpropagation algorithms Neural networks Interpolation MATLAB

来源：评论

学校读者我要写书评

暂无评论

Constructing neuro-fuzzy systems with TSK fuzzy rules and hybrid SVD-based learning

Constructing neuro-fuzzy systems with TSK fuzzy rules and hy...

引用

IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Wan-Jui Lee Chen-Sen Ouyang Shie-Jue Lee Department of Electrical Engineering National Sun Yat-Sen University Kaohsiung Taiwan

In this paper, an architecture of fuzzy neural networks with Takagi-Sugeno-Kang (TSK) fuzzy rules is proposed. A novel learning algorithm [1]-[2] with self-organizing ability and fast learning rules is also presented. In the structure identification phase of our method, fuzzy IF-THEN rules are extracted with a self-constructing rule generation algorithm. In the parameter identification phase, a hybrid learning algorithm is used, in which the consequent parameters are derived optimally by a recursive SVD-based least squares estimator (RSVD) and the precondition parameters are tuned by the backpropagation algorithm. Simulation results have demonstrated that a more compact structure with a faster convergence rate and smaller mean square errors can be achieved by the proposed approach.

关键词： Fuzzy neural networks Fuzzy systems backpropagation algorithms Takagi-Sugeno-Kang model Parameter estimation Least squares approximation Phase estimation Recursive estimation Convergence Mean square error methods

来源：评论

学校读者我要写书评

暂无评论

Experiments with the cascade-correlation algorithm

Experiments with the cascade-correlation algorithm

引用

International Joint Conference on Neural Networks (IJCNN)

作者： J. Yang V. Honavar Department of Computer Science Iowa State University Ames IA USA

A series of experiments with the cascade-correlation algorithm (CCA) and some of its variants on a number of real-world pattern classification tasks are described. Some of the experiments investigated the effect of different design parameters on the performance of the CCA. Parameter settings that consistently yield good performance on different data sets were identified. The performance of the CCA is compared with that of the backpropagation algorithm and the perceptron algorithm. Preliminary results obtained from some variants of CCA and some directions for future work with CCA-like neural network learning methods are discussed.< >

关键词： backpropagation algorithms Pattern classification Testing Neural networks Function approximation Approximation algorithms Ash Machine learning Computer science Learning systems

来源：评论

学校读者我要写书评

暂无评论

A Study on Medicinal Plant Leaf Recognition Using Artificial Intelligence

A Study on Medicinal Plant Leaf Recognition Using Artificial...

引用

International Conference on Informatics, Multimedia, Cyber and Information System (ICIMCIS)

作者： Vina Ayumi Ermatita Ermatita Abdiansah Abdiansah Handrie Noprisson Mariana Purba Marissa Utami Doctoral Program in Engineering Universitas Sriwijaya Palembang Indonesia Faculty of Computer Science Universitas Sriwijaya Palembang Indonesia Faculty of Computer Science Universitas Mercu Buana Jakarta Indonesia Program of Informatics Management Politeknik Anika Palembang Indonesia Faculty of Engineering Muhammadiyah University of Bengkulu Bengkulu Indonesia

ISBN: (纸本)9781665427340

Medicinal plant recognition manually takes a lot of time and money. Moreover, to reduce these resources, some researchers propose to implement artificial intelligence technology. This paper aims are to conduct a systematic literature review of medicinal plant leaf recognition published in the last two years (2019–2020) from IEEE, Springer and Science Direct. We obtained 15 studies in the field of medicinal plant leaf recognition using artificial intelligence. The dataset used for medicinal plant leaf recognition is mostly used private dataset, however, there are public dataset named Leaf, Flavia, Swedish dataset. We also found robust method that can be used for medicinal plant leaf recognition is Multichannel Modified Local Gradient Pattern (MCMLGP) and Gray Level Co-Occurrence Matrix (GLCM) as feature extraction; and Convolutional Neural Network (CNN), Multi-Layer Perceptron trained with backpropagation algorithm (MLP-BP), Support Vector Machine (SVM), and Transfer Learning (VGG19) as classifier.

关键词： Support vector machines Systematics Bibliographies Multimedia systems Transfer learning backpropagation algorithms Feature extraction

来源：评论

学校读者我要写书评

暂无评论

Cascade network architectures

Cascade network architectures

引用

International Joint Conference on Neural Networks (IJCNN)

作者： E. Littmann H. Ritter Department of Information Science Bielefeld University Bielefeld Germany

A novel incremental cascade network architecture based on error minimization is presented. The properties of this and related cascade architectures are discussed, and the influence of the objective function is investigated. The performance of the network is achieved by several layers of nonlinear units that are trained in a strictly feedforward manner and one after the other. Nonlinearity is generated by using sigmoid units and, optionally, additional powers of their activity values. Extensive benchmarking results for the XOR problem are reported, as are various classification tasks, and time series prediction. These are compared to other results reported in the literature. Direct cascading is proposed as promising approach to introducing context information in the approximation process.< >

关键词： Feedforward systems Convergence Information science Power generation backpropagation algorithms Minimization methods

来源：评论

学校读者我要写书评

暂无评论

Training a neural observer using a hybrid approach

Training a neural observer using a hybrid approach

引用

IEEE SSD International Multi-Conference on Systems, Signals and Devices

作者： Rania Loukil Mohamed Chtourou Tarak Damak Intelligent Control design and Optimization of complex Systems National Engineering School of Sfax Sfax Tunisia Automatic Control Unit National Engineering School of Sfax Sfax Tunisia

In this work, we use the approach based on observers such as the neural observer in order to introduce the diagnosis of nonlinear systems. There are different techniques for training the neural networks. Among these techniques, we quote the backpropagation technique, the backpropagation technique with momentum and the hybrid one which is a mixture between the backpropagation technique and the sliding variable structure. The robustness of this kind of training for neural observer is tested through a physical example. The obtained results show that the third type of training is better than using a classic kind of training especially concerning the rapidity of convergence.

关键词： Training Observers backpropagation Convergence Mathematical model backpropagation algorithms Stability analysis

来源：评论

学校读者我要写书评

暂无评论

Improving compensation of nonlinear distortions in OFDM system using recurrent neural network with conjugate gradient algorithm

Improving compensation of nonlinear distortions in OFDM syst...

引用

IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

作者： J. Pochmara Institute of Electronics and Telecommunications Poznan University of Technology Poznan Poznan University of Technology Poznan Poland

The paper presents a neural network predistortion technique compensating for nonlinear distortions caused by an HPA (high power amplifier) cascaded with a filter in an OFDM (orthogonal frequency division multiplexing) system. It is confirmed by computer simulation that the proposed approach produces a faster convergence speed than the conventional backpropagation algorithm. The predistortion technique based on a neural network is very attractive from the implementation point of view, because of the low amount of RAM required and rapid convergence from a blind start.

关键词： Nonlinear distortion OFDM Recurrent neural networks backpropagation algorithms Neural networks Predistortion Convergence High power amplifiers Filters Computer simulation

来源：评论

学校读者我要写书评

暂无评论

Dynamic neural network control of nonlinear-time varying systems: stability analysis, optimal network structure, and on-line adaptation

Dynamic neural network control of nonlinear-time varying sys...

引用

Conference of the North American Fuzzy Information Processing Society - NAFIPS

作者： M. Nikravesh Earth Sciences Division of Lawrence Berkeley National Laboratory and Department of Materials Science and Mineral Engineering University of California Berkeley CA USA

In this paper, dynamic neural network control (DNNC) is presented as a control strategy which uses a neural network to model the process and then applies the mathematical inversion of the process model to design the controller. DNNC falls into the large class of model predictive controllers, many of which are now widely used in industry. The objectives of this paper are: to study the stability properties of DNNC; and to study the on-line adaptation properties of DNNC. In this study four basic assumptions are made. The process is modeled with continuous time functions. If the process is nonstationary, it is also necessary to assure that changes will be continuous and smooth over small intervals of time, i.e. that process parameters change in a continuous manner. The time between model adaptation is small relative to time scale of parameter changes. Process parameters will not change at once, but only a small subset of them.

关键词： Optimal control Nonlinear control systems Control systems Stability analysis Biological neural networks Predictive models Neural networks Mathematical model Process control backpropagation algorithms

来源：评论

学校读者我要写书评

暂无评论

Algorithmic mapping of MLP network on Neural DF KPI architecture

Algorithmic mapping of MLP network on Neural DF KPI architec...

引用

International Conference on Computational Cybernetics (ICCC)

作者： Liberios Vokorokos Norbert Adam Jana Trelova Department of Computers and Informatics Technical University of Kosice Kosice Slovakia Computer Centre of FEEI Technical University of Koaice Kosice Slovakia

Artificial neural networks gain increasingly higher popularity in application fields with stress laid on acquiring information in real-time. Although there are various implementations of neural networks available for sequential computer systems, lots of these models require an enormous amount of time for the training phase of neural network in case of large network. Therefore the new time saving concepts were developed especially for time reduction of network training thus including modification of original models and learning algorithms as well as implementation of these models on parallel computer system. Conventional formulation of fundamental neural algorithms make implementation of neural networks on existing parallel hardware more difficult, therefore a solution for effective network parallelisation in the form of algorithmic mapping of multilayer feedforward neural network with backpropagation learning (FFBP) on massively parallel system neural DF KPI was searched in the framework of VEGA 1/1064/04 project performed on Department of Computers and Informatics at Technical University of Kosice.

关键词： Artificial neural networks Computer networks backpropagation algorithms Multi-layer neural network Concurrent computing Neural networks Feedforward neural networks Computer architecture Application software Stress

来源：评论

学校读者我要写书评

暂无评论

Attentional Mode Neural Network: A New Approach For Real-time Self-learning

Attentional Mode Neural Network: A New Approach For Real-tim...

引用

IEEE International Symposium on Circuits and Systems (ISCAS)

作者： P.M. Engel Instituto de Informática Universidade Federal do Rio Grande do Sul-Brazil

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190页 << < 178 179 180 181 182 183 184 185 186 187 > >>

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：