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电子书制作
电子书制作chm教材说明(electronic book production materials note)
- 2005-02-11 00:08:11下载
- 积分：1
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DynamicPowerQualityTestingTechnology
本文首先介绍了有源电力滤波器的基本结构和工作原理，并对一些常规的谐波电流检测方法的优缺点进行了比较。其次，针对传统的谐波电流检测方法的缺陷，提出将神经网络与基于噪声抵消原理的自适应谐波检测相结合，利用径向基函数运算量小、收敛快、无局部极小值等优点，构造了一种基于径向基函数神经网络的谐波电流检测方法，仿真结果表明该检测方法具有很好的动态响应及畸变电流检测精度。最后，设计了一套实验系统，对本文所采用的系统方案进行了实验验证。仿真表明，本文所采用的有源电力滤波器检测系统方案切实可行，能够较好地实现动态检测谐波和无功功率的目的。 (This paper, firstly, introduces the basic structure and principle of APF, and then makes comparison among some conventional harmonics detections methods. Secondly, contraposes the limitation of the traditional harmonic current detecting method based on neural network, presents the method that combines the neural network and auto adaptive harmonic current detecting method based on the principle of noise each other eliminating.As the characteristics that are small calculative quantity, fast converge, without local minimal point of Redial Basis Function (RBF), this dissertation forms a new harmonic current detecting method based on RBF. The simulation results show that the method has many advantages, such as good dynamic response, high accuracy. At last, A system is designed to verify the proposed APF scheme .The results of simulation show that the proposed APF scheme is practical and can detect harmonics and reactive power effectively. )
- 2009-05-03 10:26:45下载
- 积分：1
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鼠标拖拽图片更换位置
款默认4行3列12张图片排列，鼠标点击图片显示虚线框(Default 4 rows, 3 columns, 12 pictures, mouse click pictures show dotted line frame)
- 2018-11-29 14:21:15下载
- 积分：1
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基于混沌自适应粒子群优化的matlab程序
说明： 文件包括带压缩因子的粒子群算法，权重改进的粒子群算法，自适应权重法，随机权重法，变学习因子的粒子群算法，异步变化的学习因子，二阶粒子群算法，二阶振荡粒子群算法，混沌粒子群算法，混合粒子群算法，杂交粒子群算法，模拟退火算法(Documents including particle swarm algorithm with compression factor, weighting the improved particle swarm algorithm, adaptive weight method, the random weighting method, variable learning factor of particle swarm optimization (pso) algorithm, asynchronous learning factors change, the second order particle swarm optimization (pso) algorithm, the second order oscillation particle swarm algorithm, chaos particle swarm optimization (pso) algorithm and hybrid particle swarm optimization (pso) algorithm, the hybrid particle swarm algorithm, simulated annealing algorithm)
- 2020-10-28 21:23:12下载
- 积分：1
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模式识别
模式识别代码以及PPt
哈工大出版社
刘家峰(Pattern recognition code and PPt
Kazakhstan press
Jia Feng Liu)
- 2020-07-03 06:20:02下载
- 积分：1
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The code assumes a two
The code assumes a two-dimensional computational domain with TMz polarization (i.e., non-zero field Ez, Hx, and Hy). The program is currently written so that the incident field always strikes the lower-left corner of the total-field region first. (If you want a different corner, that should be a fairly simple tweak to the code, but for now you ll have to make that tweak yourself.) I have attempted to provide copious comments in the code and hope that a knowledgeable C programmer can quickly map the approach as described in the paper to what is in the program.
- 2022-04-19 22:19:25下载
- 积分：1
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介绍属性包 IPersistPropertyBag 接口的实现方法和调用方式。属性包，是以“名称...
介绍属性包 IPersistPropertyBag 接口的实现方法和调用方式。属性包，是以“名称 - 值”的方式提供组件持续性的支持，而“名称 - 值”恰恰又适合于用文本方式来表现。下面的片段是在 HTML 中插入 Microsoft MonthView Control ActiveX 控件后的样式：
-briefing packet attributes IPersistPropertyBag interface method and the use of methods. Attribute packets based on the "name-value" component in the form of continuing support, and "name-value" precisely tailored to the text mode is used to show. The following is the HTML fragment inserted Microsoft ActiveX Control MonthView the Styles :
- 2022-05-18 23:18:47下载
- 积分：1
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1
说明： 右全屏动画焦点图是一款基于jquery+html5实现的片切换动画效果代码。(The right full-screen animation focus map is a movie switching animation effect code based on jQuery + HTML 5.)
- 2019-03-21 16:43:32下载
- 积分：1
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33节点系统重构程序实现
说明： 33节点潮流计算，用于IEEE-33节点配电网系统重构程序的实现(33-node power flow calculation for the implementation of IEEE-33-node distribution network system reconstruction program)
- 2021-04-15 16:28:54下载
- 积分：1
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红外遥控
说明： 红外遥控的识别和解码，利用定时器去编写。(Identification and decoding of infrared remote control)
- 2020-02-28 16:12:55下载
- 积分：1
