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Simulink-model-of-a-PV-array
This file is very important for student ....
- 2014-02-18 00:16:00下载
- 积分:1
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fisher1111
基于Fisher准则线性分类器设计
进一步了解分类器的设计概念,能够根据自己的设计对线性分类器有更深刻地认识,理解Fisher准则方法确定最佳线性分界面方法的原理
(Fisher linear classification criteria for classification designed to further understanding of the design concept According to the design of linear classification for a more profound understanding, Fisher understood the criteria to determine the best method of linear interface of the theory)
- 2007-01-16 23:57:34下载
- 积分:1
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matlabwithexample
精通MATLAB-综合辅导与指南(附例程)。初学者必备书籍,还有大量的程序供实践。(proficient MATLAB-comprehensive counseling and guidance (routines). Beginners essential books, there is a lot of procedures for the practice.)
- 2007-06-10 21:31:25下载
- 积分:1
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matlab_arc
For use with MATLAB Simulink and Power System Blockset
- 2019-05-17 16:24:14下载
- 积分:1
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MPPT
可以实现光伏电池带MPPT仿真以及附有m文件。(MPPT realize and with m file and simulizetion)
- 2020-06-30 09:00:02下载
- 积分:1
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diqiujingzhiguidao
1.地球同步轨道卫星,倾角分别为0,30,90度。 (1 satellites in geosynchronous orbit, respectively 0,30,90 degrees inclination.)
- 2013-07-19 14:59:47下载
- 积分:1
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chepai
在matlab开发环境下,实现彩色图片的车牌定位及车牌字符的分割(In matlab development environment, to achieve color picture of the license plate location and license plate character segmentation)
- 2013-11-13 21:30:18下载
- 积分:1
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analytic-hierarchy-process
层次分析法(Analytic Hierarchy Process,简称AHP)是将与决策总是有关的元素分解成目标、准则、方案等层次,在此基础之上进行定性和定量分析的决策方法。(AHP (Analytic Hierarchy Process, the AHP for short) is the elements related to the decision is always broken down into objectives, principles, scheme, such as level, on the basis of the decision-making methods of qualitative and quantitative analysis.
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- 2013-12-08 14:45:56下载
- 积分:1
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chaoliujisuan
说明: 关于电力系统中潮流计算中的节点导纳矩阵Y的计算(Node Admittance Matrix Computation)
- 2019-05-06 16:11:23下载
- 积分:1
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pca
PCA技术的一大好处是对数据进行降维的处理。我们可以对新求出的“主元”向量的重要性进行排序,根据需要取前面最重要的部分,将后面的维数省去,可以达到降维从而简化模型或是对数据进行压缩的效果。同时最大程度的保持了原有数据的信息。
(A major advantage of PCA technology is reduce the dimension of the data processing. We can calculate the new " principal component" vector order of importance, according to need to take the most important part of the front, eliminating the rear of the dimensions, dimension reduction can be achieved to simplify the model or the effect of data compression . At the same time maintaining the greatest degree of the original data.)
- 2010-10-27 12:03:34下载
- 积分:1