networkS
共 457 篇文章
networkS 相关的电子技术资料，包括技术文档、应用笔记、电路设计、代码示例等，共 457 篇文章，持续更新中。
c4.5算法，人工智能，神经网络等等数据研究
c4.5算法，人工智能，神经网络等等数据研究-Data c4.5 algorithm research, artificial intelligence, neural networks, etc.
IEEE802.11-2012标准
<p>IEEE802.11-2012标准协议</p><p>IEEE Standard for Information technology-</p><p>Telecommunications and information exchange between systems</p><p>Local and metropolitan area networks-</p><p>Specific requ
运算放大器手册
<p> [运算放大器手册]电子产品开发必备手册，难得的文档</p><p><br/></p><p><br/></p><p></p><p>While in the process of reviewing Texas Instruments applications notes, including those</p><p>from Burr-Brown – I uncovered a co
学习贝叶斯网络，人工智能入门书籍 Learning Bayesian Networks - Neapolitan R. E
<p>Learning Bayesian Networks - Neapolitan R. E.电子书，这本电子书是贝叶斯机器学习的必读入门书，便于人工智能初学者入门。</p>
深度学习入门书籍中文版
<p>该书的作者是来自 Y Combinator Research 的研究员 Michael
Nielsen，他也是一位量子物理学家、科学作家、计算机编程研究人员。他的个人主页是：Neural networks and deep
learningneuralnetworksanddeeplearning.com</p><p><br/></p><p><br/></p><p>书籍介绍 <br/
TCP-IP Socket网络编程
<p>Internet-“冷战”的产物</p><p>-1957年10月和11月，前苏联先后有两颗“Sputnik”卫星上天</p><p>-1958年美国总统艾森豪威尔向美国国会提出建立DARPA</p><p>（Defense Advanced Research Project Agency），即国防部高级研究计划署，简称ARPA</p><p>-1968年6月DARPA提出“资源共享计算机网络”</
基于遗传算法的BP神经网络的优化研究及MATLAB仿真
<p>随着人类社会的进步，科学技术的发展日新月异，模拟人脑神经网络的人工神经网络已取得了长足的发展。经过半个多世纪的发展，人工神经网络在计算机科学，人工智能，智能控制等方面得到了广泛的应用。</p><p>当代社会是一个讲究效率的社会，科技更新领域也是如此。在人工神经网络研究领域，算法的优化显得尤为重要，对提高网络整体性能举足轻重.BP神经网络模型是目前应用最为广泛的一种神经网络模型，对于解决非线性
无线传感器网络中基于模糊理论的决策级数据融合技术的分析
<p>摘要：无线传感器网络（Wireless Sensor Networks，wSN是由许多具有低功率无线收发装置的传感器节点组成，它们监测采集周边环境信息并传送到基站进行处理在某一时刻通过wSN采集的数据量非常大，如何正确、高效地处理这些数据成为当前WSN研究中的一个热点。传感器节点一般部署在恶劣环境中，一些偶然因素会使采集的数据中出现不准确的数据，用户依据这样的数据很难准确判断出被测对象的真实
5G中的SDN-NFV和云计算.pdf
<p>5G中的SDN-NFV和云计算.pdf</p><p>摘 要 通过介绍广义的SDN/NFV和云计算，结合未来5G网络的特点，分析了5G中上述技术的 应用前景和技术定位；结合5G的网络特点和现有网络的部署情况，总结了各技术间的逻辑关系以及运 营商的侧重点。</p><p>引言 SDN/NFV 和云计算都是起源于 IT 领域的技术。 如今，云计算已经非常成熟，在 IT 领域已经大规模商 用，SDN技
Satellite-UAV-Vehicle Integrated Networks
空天地一体化通信综述，卫星、无人机、地面蜂窝系统协同网络
Guide to Convolutional Neural Networks
General paradigm in solving a computer vision problem is to represent a raw image<br />
using a more informative vector called feature vector and train a classifier on top of<br />
feature vectors col
Foundations of Data Science
Computer science as an academic discipline began in the 1960’s. Emphasis was on<br />
programming languages, compilers, operating systems, and the mathematical theory that<br />
supported these areas.
Densely Connected Convolutional Networks
Recent work has shown that convolutional networks can<br />
be substantially deeper, more accurate, and efficient to train<br />
if they contain shorter connections between layers close to<br />
the i
Deep_Learning_for_Computer_Architects
This book is intended to be a general introduction to neural networks for those with a computer<br />
architecture, circuits, or systems background. In the introduction (Chapter 1), we define key vo-<
Computational+Intelligence
The large-scale deployment of the smart grid (SG) paradigm could play a strategic role in<br />
supporting the evolution of conventional electrical grids toward active, flexible and self-<br />
healin
Auto-Machine-Learning-Methods-Systems-Challenges
The past decade has seen an explosion of machine learning research and appli-<br />
cations; especially, deep learning methods have enabled key advances in many<br />
applicationdomains,suchas compute
Neural_and_Fuzzy_Logic_Control
The idea of writing this book arose from the need to investigate the main principles of<br />
modern power electronic control strategies, using fuzzy logic and neural networks, for<br />
research and
Neural Systems For Control
If you are acquainted with neural networks, automatic control problems<br />
are good industrial applications and have a dynamic or evolutionary nature<br />
lacking in static pattern-recognition; con
GNSS+Receivers+for+Weak+Signals
Many applications have required the positioning accuracy of a Global Navigation<br />
Satellite System (GNSS). Some applications exist in environments that attenuate<br />
GNSS signals, and, consequen
RFID-WSN+Integrated+Architecture
Radio frequency identification (RFID) and Wireless sensor networks (WSN) are<br />
the two key wireless technologies that have diversified applications in the present<br />
and the upcoming systems in