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

2,942 篇 会议
39 篇 期刊文献
7 册 图书

馆藏范围

2,988 篇 电子文献
0 种 纸本馆藏

日期分布

学科分类号

1,753 篇 工学
- 1,402 篇 计算机科学与技术...
- 683 篇 软件工程
- 488 篇 电气工程
- 394 篇 信息与通信工程
- 200 篇 控制科学与工程
- 130 篇 生物工程
- 78 篇 电子科学与技术（可...
- 65 篇 生物医学工程（可授...
- 58 篇 机械工程
- 54 篇 仪器科学与技术
- 48 篇 光学工程
- 33 篇 网络空间安全
- 30 篇 动力工程及工程热...
- 24 篇 安全科学与工程
- 23 篇 材料科学与工程（可...
- 22 篇 化学工程与技术
- 20 篇 测绘科学与技术
- 19 篇 石油与天然气工程
515 篇 理学
- 225 篇 物理学
- 188 篇 数学
- 143 篇 生物学
- 57 篇 统计学（可授理学、...
- 40 篇 系统科学
- 27 篇 化学
203 篇 管理学
- 135 篇 管理科学与工程(可...
- 81 篇 图书情报与档案管...
- 31 篇 工商管理
135 篇 医学
- 112 篇 临床医学
- 38 篇 基础医学(可授医学...
37 篇 法学
- 20 篇 社会学
18 篇 文学
14 篇 农学
10 篇 教育学
9 篇 经济学
2 篇 军事学

主题

590 篇 neural networks
173 篇 training
167 篇 artificial neura...
163 篇 deep learning
135 篇 computational mo...
122 篇 feature extracti...
115 篇 neural network
113 篇 convolutional ne...
88 篇 machine learning
86 篇 parallel process...
86 篇 neurons
79 篇 deep neural netw...
74 篇 computer archite...
73 篇 distributed comp...
65 篇 signal processin...
62 篇 distributed proc...
61 篇 accuracy
60 篇 recurrent neural...
55 篇 data models
49 篇 convolutional ne...

机构

11 篇 institute of inf...
9 篇 school of cyber ...
8 篇 univ chinese aca...
8 篇 natl univ def te...
7 篇 college of compu...
7 篇 carnegie mellon ...
7 篇 national laborat...
7 篇 beijing universi...
7 篇 natl univ def te...
6 篇 shanghai jiao to...
6 篇 the islamic univ...
6 篇 department of co...
5 篇 science and tech...
5 篇 ibm tj watson re...
5 篇 school of inform...
5 篇 king saud univer...
5 篇 shandong normal ...
5 篇 kaust thuwal
5 篇 university of ch...
5 篇 natl univ def te...

作者

8 篇 li dongsheng
8 篇 dou yong
8 篇 jie liu
6 篇 richtarik peter
6 篇 ribeiro alejandr...
6 篇 liu jie
6 篇 niu xin
6 篇 yong dou
6 篇 shulian yang
6 篇 zhang wei
5 篇 ryabinin max
5 篇 segarra santiago
5 篇 lai zhiquan
5 篇 ding bo
5 篇 qiao peng
5 篇 xu jiren
5 篇 kokkinos yiannis
5 篇 peng yuxing
5 篇 wang huaimin
5 篇 li aiping

语言

2,933 篇 英文
47 篇 其他
8 篇 中文
2 篇 土耳其文

检索条件"任意字段=Conference on Neural Network and Distributed Processing"

共 2988 条记录，以下是111-120 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：

FULLY distributed DIAGNOSIS BY PDP LEARNING ALGORITHM - TOWARDS IMMUNE network PDP MODEL

FULLY DISTRIBUTED DIAGNOSIS BY PDP LEARNING ALGORITHM - TOWA...

引用

INTERNATIONAL JOINT CONF ON neural networkS ( IJCNM-90 )

作者： ISHIDA, Y Div of Appl Syst Sci Kyoto Univ Japan

Based on the strong analogy between neural networks and distributed diagnosis models, diagnostic algorithms are presented which are similar to the learning algorithm used in neural networks. Diagnostic implications of convergence theorems proved by the Lyapunov function are also discussed. Regarding diagnosis process as a recalling process in the associative memory, a diagnostic method of associative diagnosis is also presented. A good guess of diagnosis is given as a key to recalling the correct diagnosis. The authors regard the distributed diagnosis as an immune network model, a novel PDP (parallel distributed processing) model. This models the recognition capability emergent from cooperative recognition of interconnected units

关键词： neural networks

来源：评论

学校读者我要写书评

暂无评论

A distributed robotic control system based on a temporal self-organizing neural network

A distributed robotic control system based on a temporal sel...

引用

IEEE International conference on Systems, Man and Cybernetics (SMC)

作者： Barreto, G Araújo, A Dücker, C Ritter, H Univ Sao Paulo Dept Elect Engn Sao Carlos SP Brazil

ISBN: (纸本)0780370872

A distributed robot control system is proposed based on a temporal self-organising neural network, called competitive and temporal hebbian (CTH) network. Tire CTH network can learn and recall complex trajectories using two sets of synaptic weights, namely, competitive feedforward weights that encode the individual states of the trajectory, and hobbian lateral weights that encode tire temporal order of trajectory states. Ambiguities that occur during trajectory reproduction are resolved using temporal context information. Also, the CTH network saves memory space by maintaining only a single copy of each repeated/shared state of a complex trajectory. A distributed processing scheme is proposed to evaluate the CTH network in point-to-point real-time trajectory control of a PUMA 560 robot. The performance of the control system is discussed arid compared with other neural network approaches.

关键词： self-organization neural networks temporal sequences robotics distributed control

来源：评论

学校读者我要写书评

暂无评论

A COMPARISON OF TWO OPTIMIZATION TECHNIQUES FOR SEQUENCE DISCRIMINATIVE TRAINING OF DEEP neural networkS

A COMPARISON OF TWO OPTIMIZATION TECHNIQUES FOR SEQUENCE DIS...

引用

IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Saon, George Soltau, Hagen IBM TJ Watson Res Ctr Yorktown Hts NY 10598 USA

ISBN: (纸本)9781479928934

We compare two optimization methods for lattice-based sequence discriminative training of neural network acoustic models: distributed Hessian-free (DHF) and stochastic gradient descent (SGD). Our findings on two different LVCSR tasks suggest that SGD running on a single GPU machine achieves the best accuracy 2.5 times faster than DHF running on multiple non-GPU machines;however, DHF training achieves a higher accuracy at the end of the optimization. In addition, we present an improved modified forward-backward algorithm for computing lattice-based expected loss functions and gradients that results in a 34% speedup for SGD.

关键词： sequence discriminative training distributed Hessian-free optimization stochastic gradient descent neural network acoustic models

来源：评论

学校读者我要写书评

暂无评论

neural network-BASED COMPRESSION FRAMEWORK FOR DOA ESTIMATION EXPLOITING distributed ARRAY 47

NEURAL NETWORK-BASED COMPRESSION FRAMEWORK FOR DOA ESTIMATIO...

引用

47th IEEE International conference on Acoustics, Speech and Signal processing (ICASSP)

作者： Pavel, Saidur R. Zhang, Yimin D. Temple Univ Dept Elect & Comp Engn Philadelphia PA 19122 USA

ISBN: (纸本)9781665405409

distributed array consisting of multiple subarrays is attractive for high-resolution direction-of-arrival (DOA) estimation when a large-scale array is infeasible. To achieve effective distributed DOA estimation, it is required to transmit information observed at the subarrays to the fusion center, where DOA estimation is performed. For noncoherent data fusion, the covariance matrices are used for subarray fusion. To address the complexity involved with the large array size, we propose a compression framework consisting of multiple parallel encoders and a classifier. The parallel encoders at the distributed subarrays are trained to compress the respective covariance matrices. The compressed results are sent to the fusion center where the signal DOAs are estimated using a classifier based on the compressed covariance matrices.

关键词： Direction-of-arrival estimation distributed array distributed sensing data compression neural network

来源：评论

学校读者我要写书评

暂无评论

A distributed neural network learning algorithm for network intrusion detection system

A distributed neural network learning algorithm for network ...

引用

13th International conference on neural Informational processing

作者： Liu, Yanheng Tian, Daxin Yu, Xuegang Wang, Jian Jilin Univ Coll Comp Sci & Technol Key Lab Symbol Computat & Knowledge Engn Minist Educ Jilin 130012 Peoples R China

ISBN: (纸本)3540464840

To make network intrusion detection systems can be used in Gigabit Ethernet, a distributed neural network learning algorithm (DNNL) is put forward to keep up with the increasing network throughput. The main idea of DNNL is splitting the overall traffic into subsets and several sensors learn them in parallel way. The advantage of this method is that the large data set can be split randomly thus reduce the complicacy of the splitting algorithm. The experiments are performed on the KDD'99 Data Set which is a standard intrusion detection benchmark. Comparisons with other approaches on the same benchmark show that DNNL can perform detection with high detection rate.

关键词： intrusion detection system neural network distributed learning

来源：评论

学校读者我要写书评

暂无评论

Knowledge-Based Artificial neural network and the application of it in understanding Remotely-Sensed images

Knowledge-Based Artificial Neural Network and the applicatio...

引用

conference on neural network and distributed processing

作者： Wu, CX Wuhan Univ Sch Comp Sci Wuhan 430079 Peoples R China

ISBN: (纸本)0819442836

The Artificial neural network(ANN) is an intelligent computer system bases on the empirical teaming of the human being. Knowledge-Based Artificial neural networks(KBANN) effectively combines the knowledge learnt from theory with that of learnt from examples. This efficient combination of theory and data may result in efficient teaming system. And the method of building a KBANN solves the problem that how to design the structure of the neural network. According to the way of building a KBANN, interpreting system of Remotely-Sensed images can be built.

关键词： knowledge neural network build application Remotely-Sensed images understanding

来源：评论

学校读者我要写书评

暂无评论

neural network based on QBP and its performance

Neural network based on QBP and its performance

引用

IEEE/INNS/ENNS International Joint conference on neural networks (IJCNN 2000)

作者： Matsui, N Kouda, N Nishimura, H Himeji Inst Technol Fac Engn Dept Comp Engn Himeji Hyogo 6712201 Japan

In recent years, some researchers have been exploring quantum computer in view of neural network to realize a distributed and strongly connectionist system that achieves parallel and fast information processing. We have proposed a qubit neuron model based on quantum mechanics, constructed the Quantum Back Propagation learning rule(QBP), and investigated it. In this paper, we show our improved QBP neural network model and discuss its performance on solving the 4 bit parity check problem and the function identification problem. Then, we conclude our model is more excellent than the conventional one in information processing efficiency.

关键词： quantum mechanics qubit neuron quantum back propagation function identification non-standard computation

来源：评论

学校读者我要写书评

暂无评论

An Artificial neural network for distributed Constrained Optimization 25th

An Artificial Neural Network for Distributed Constrained Opt...

引用

25th International conference on neural Information processing (ICONIP)

作者： Liu, Na Jia, Wenwen Qin, Sitian Li, Guocheng Harbin Inst Technol Dept Math Weihai Peoples R China Beijing Informat Sci & Technol Univ Dept Math Beijing Peoples R China

ISBN: (纸本)9783030041793;9783030041786

This paper studies the distributed convex optimization problems, where the objective function can be expressed as the sum of nonsmooth local convex objective functions. By the virtue of KKT conditions, an artificial neural network is presented to solve the distributed convex optimization problems with inequality and equality constraints. And it is shown that the state solution of the artificial neural network converges to the optimal solution to the original optimization problem. Compared with the existing continuous time algorithms, the provided algorithm has the advantages of lower model complexity and easy implementation. Finally, a numerical example displays the practicality of the algorithm.

关键词： distributed optimization Artificial neural network Consensus Lyapunov function Global convergence

来源：评论

学校读者我要写书评

暂无评论

PP-Stream: Toward High-Performance Privacy-Preserving neural network Inference via distributed Stream processing

PP-Stream: Toward High-Performance Privacy-Preserving Neural...

引用

International conference on Data Engineering

作者： Qingxiu Liu Qun Huang Xiang Chen Sa Wang Wenhao Wang Shujie Han Patrick P. C. Lee Peking University The Chinese University of Hong Kong Zhejiang University Institute of Computing Technology Chinese Academy of Sciences Institute of Information Engineering Chinese Academy of Sciences

ISBN: (数字)9798350317152

ISBN: (纸本)9798350317169

Privacy preservation is critical for neural network inference, which often involves collaborative execution of different parties to make predictions on sensitive data based on sensitive neural network models. However, the expensive cryptographic operations of privacy preservation also pose performance chal-lenges to neural network inference. We address this performance-security tension by designing PP-Stream, a distributed stream processing system for high-performance privacy-preserving neural network inference. PP-Stream adopts hybrid privacy-preserving mechanisms for linear and non-linear operations of neural network inference. It treats inference data as real-time data streams, and parallelizes the inference operations across multiple pipelined stages that are executed by multiple servers and threads. It also solves the load-balanced resource allocation across servers and threads as an optimization problem. We prototype PP-Stream and show via testbed experiments that it achieves low inference latencies on various neural network models.

关键词： Privacy Tensors Instruction sets neural networks Prototypes Data models Real-time systems

来源：评论

学校读者我要写书评

暂无评论

distributed Optimization of Uplink Cell-Free Massive MIMO networks 96

Distributed Optimization of Uplink Cell-Free Massive MIMO Ne...

引用

IEEE 96th Vehicular Technology conference (VTC-Fall)

作者： Wang, Rui Jiang, Yi Fudan Univ Sch Informat Sci & Technol Dept Commun Sci & Engn Shanghai Peoples R China

ISBN: (纸本)9781665454681

This paper studies distributed optimization of an uplink cell-free Massive MIMO (CF-mMIMO) network. By observing some interesting analogies between the CF network and an artificial neural network (ANN), we propose to relate the uplink CF network to a so-called quasi-neural network. Borrowing the idea of the back-propagation (BP) algorithm, we propose a novel scheme to optimize the central processing unit (CPU) and the access points (APs) of the network. The proposed scheme can achieve multi-AP cooperation using only the pilot sequences, but without the channel state information (CSI). To reduce the required throughput of the fronthaul, we let each AP beamform the received vector signals into scalar ones before passing them to the CPU. The effectiveness of the proposed scheme is verified by the simulations.

关键词： cell-free massive MIMO network artificial neural network back-propagation quasi-neural network distributed optimization

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299页 << < 8 9 10 11 12 13 14 15 16 17 > >>

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：