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qhann
- 清华人工神经网络电子讲稿.介绍人工神经网络及其基本网络模型，使学生了解智能系统描述的基本模型掌握人工神经网络的基本概念、单层网、多层网、循环网等各种基本网络模型的结构、特点、典型训练算法、运行方式、典型问题.掌握软件实现方法。-Qinghua ANN electronic scr ipt. On artificial neural networks and basic network model, to enable students to understand the intelligent
2008925175139289
- 1．掌握SQL Server数据库系统SQL数据定义语言的使用方法 2．掌握SQL Server数据库系统SQL查询语言的使用方法 3．了解ADO数据控件与SQL Server的连接方式 4．用ADO数据对象对数据表进行单条件查询 -1. To master SQL Server database system SQL data definition language of the use of Method 2. To master SQL Server database sy
ProxyDemo
- 代理模式的java代码实现，通过几个类演示了代理模式，方便新手快速地学习和掌握。-Agency model java code, demonstrated by the several classes proxy mode to facilitate the novice to quickly learn and master.
how-to-use-matlab-EEMD
- 使用经验模态分解的方法，文档中配合着一些例子，通过这些例子的使用，可以掌握经验莫泰分解的matlab工具箱使用方法-Using empirical mode decomposition method, a document with some examples of the use of these examples, you can master experience Motel decomposition method using matlab toolbox
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- 某分布式部署的声纳系统共有n个独立节点构成。各节点内部均是物理同构的。各节点必须保持严格的时钟信号同步才能有效协同工作，使系统发挥作用。所有节点经由时钟信号总线连接，由其中一个节点担当主节点，它的时钟电路工作于主模式，向总线输出时钟信号；其余节点均应担当从节点，节点内部时钟电路工作于从模式，仅从总线获取信号，不向总线输出信号。该程序模拟了系统的可靠性和可用性-Distributed deployment of a sonar system there are n independent node
tanhuang-mode
- 弹簧粒子模型定位算法，根据上海大学硕士论文编写。-Spring particle model localization algorithm，according to the Shanghai university master s thesis writing.
lz4-delphi-master
- Delphi bindings for [lz4](https://code.google.com/p/lz4/). Includes easy-to-use wrapper class and an default mode implementation of the new [lz4s streaming format](http://fastcompression.blogspot.fr/2013/04/lz4-streaming-format-final.html).
LCS
- （1） 掌握多模式匹配方法 （2） 掌握基于双数组-自动机原理的多模式匹配原理 -(1) master multi-mode matching method (2) based on the dual control array- automatic machine principle of multi-mode matching principle
Tensor-Factorization-HOSVD-iterative-master
- hosvd 迭代分解,很好用，是一个硕士论文里的代码(terative HOSVD algorithm to decompose tensor and find its Singular factors in each mode.)
D2D-communication-master
- # D2D-communication optimal mode selection between normal cellular and D2D mode. MCMC_k_user.m is the main file to be run. This takes the input for No. of users, Power of each device, power emitted by the base station and path loss exponent an
Figure8_NALM-master 1
- NALM锁模激光器仿真，非线性环路反射镜锁模获得飞秒激光脉冲。(The simulation of NALM mode-locked laser shows that the femtosecond laser pulse can be obtained by mode-locked non-linear loop mirror.)
Random-Forests-Matlab-master (2)
- 要说随机森林，必须先讲决策树。决策树是一种基本的分类器，一般是将特征分为两类（决策树也可以用来回归，不过本文中暂且不表）。构建好的决策树呈树形结构，可以认为是if-then规则的集合，主要优点是模型具有可读性，分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the m
SMC-and-Fuzzy-logic-controller-for-AUV-master
- AUV控制仿真，滑模控制，模糊控制，对于水下无人平台仿真有挺大的参考意义(AUV control simulation, Sliding mode control, It has great reference significance for the simulation of underwater unmanned platform)
DMD_for_Human_motion-master
- 动态模式分解,从人类步行数据中提取信息.动态模式分解是一种降维算法，最初是在流体力学领域引入的。与提供内部坐标系和相应投影的SVD相似，DMD为您提供随不同时间行为演变的特定空间模式。(Extract Info from Human Walking Data with Dynamic Mode Decomposition)