搜索结果
找到约 457 项符合
networkS 的查询结果
按分类筛选
- 全部分类
- 书籍 (146)
- 其他书籍 (55)
- 技术资料 (49)
- 人工智能/神经网络 (40)
- matlab例程 (19)
- 电子书籍 (14)
- 通讯编程文档 (14)
- 文章/文档 (14)
- 其他 (12)
- 通讯/手机编程 (8)
- 软件设计/软件工程 (7)
- 网络 (6)
- 行业发展研究 (6)
- 论文 (5)
- Internet/网络编程 (5)
- 系统设计方案 (5)
- Java编程 (4)
- 数学计算 (4)
- 单片机开发 (4)
- 软件工程 (3)
- Linux/Unix编程 (3)
- 嵌入式/单片机编程 (3)
- 认证考试资料 (3)
- 3G开发 (3)
- 电源技术 (2)
- 无线通信 (2)
- 学术论文 (2)
- 串口编程 (2)
- 文件格式 (2)
- VC书籍 (2)
- 其他 (1)
- 数值算法/人工智能 (1)
- 加密解密 (1)
- 书籍源码 (1)
- IEEE论文 (1)
- 模拟电子 (1)
- 教育系统应用 (1)
- 编译器/解释器 (1)
- CA认证 (1)
- 技术管理 (1)
- Java书籍 (1)
- BREW编程 (1)
- FlashMX/Flex源码 (1)
人工智能/神经网络 n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional inde
n this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of the ...
人工智能/神经网络 模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern recog
模式识别学习综述.该论文的英文参考文献为303篇.很有可读价值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still contain ...
matlab例程 In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional ind
In this demo, we show how to use Rao-Blackwellised particle filtering to exploit the conditional independence structure of a simple DBN. The derivation and details are presented in A Simple Tutorial on Rao-Blackwellised Particle Filtering for Dynamic Bayesian Networks. This detailed discussion of th ...
书籍 Short-Range Wireless Communications
Short-range communications is one of the most relevant as well as diversified fields of en-
deavour in wireless communications. As such, it has been a subject of intense research and
development worldwide, particularly in the last decade. There is no reason to believe that this
trend will decline. O ...
书籍 Enhanced+Radio+Access+Technologies
Following chapter introduces the mobile communication, gives a short history of wireless
communication evolution, and highlights some application scenarios predestined for the
use of mobile devices. Cellular and wireless based systems related to different generations
of mobile communication, includi ...
书籍 Telecommunication+Systems
Intensive development of digital technologies coincided in time with the beginning
of the new era in telecommunications. It made possible to formalize many proce-
dures of data exchange and to atomize some operations which made providing of
serviceandmakeworkofmanytelecommunicationworkersmucheasier. ...
书籍 UMTS+Network+Planning
The continuing explosive growth in mobile communication is demanding more spectrally
efficient radio access technologies than the prevalent second generation (2G) systems such as
GSM to handle just the voice traffic. We are already witnessing high levels of mobile
penetration exceeding 70% in some c ...
无线通信 差分電路中單端及混合模式S-參數的使用
Single-Ended and Differential S-Parameters
Differential circuits have been important incommunication systems for many years. In the past,differential communication circuits operated at lowfrequencies, where they could be designed andanalyzed using lumped-element models andtechniques. With the freque ...
网络 xl2tpd is an implementation of the Layer 2 Tunnelling Protocol (RFC 2661). L2TP allows you to tunne
xl2tpd is an implementation of the Layer 2 Tunnelling Protocol (RFC 2661).
L2TP allows you to tunnel PPP over UDP. Some ISPs use L2TP to tunnel user
sessions from dial-in servers (modem banks, ADSL DSLAMs) to back-end PPP
servers. Another important application is Virtual Private Networks where
the I ...
人工智能/神经网络 ％ Train a two layer neural network with the Levenberg-Marquardt ％ method. ％ ％ If desired, it is p
％ Train a two layer neural network with the Levenberg-Marquardt
％ method.
％
％ If desired, it is possible to use regularization by
％ weight decay. Also pruned (ie. not fully connected) networks can
％ be trained.
％
％ Given a set of corresponding input-output pairs and an initial
％ network,
％ ...