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runge_kutta
runge_kutta 四阶算法 还有Simpson算法(runge_kutta Simpson algorithm of fourth order algorithms are)
- 2010-05-08 10:15:16下载
- 积分：1
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matlab
MATLAB的基本知识，基本运算与函数整理(MATLAB basic knowledge, basic calculations and function finishing)
- 2013-10-09 14:54:56下载
- 积分：1
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13种PSO算法以及课件
各算法对应的问题如下：
PSO 用基本粒子群算法求解无约束优化问题
YSPSO 用带压缩因子的粒子群算法求解无约束优化问题
LinWPSO 用线性递减权重粒子群优化算法求解无约束优化问题
SAPSO 用自适应权重粒子群优化算法求解无约束优化问题
RandWPSO 用随机权重粒子群优化算法求解无约束优化问题
LnCPSO 用学习因子同步变化的粒子群优化算法求解无约束优化问题
AsyLnCPSO 用学习因子异步变化的粒子群优化算法求解无约束优化问题
SecPSO 用二阶粒子群优化算法求解无约束优化问题
SecVibratPSO 用二阶振荡粒子群优化算法求解无约束优化问题
CLSPSO 用混沌粒子群优化算法求解无约束优化问题
SelPSO 用基于选择的粒子群优化算法求解无约束优化问
BreedPSO 用基于交叉遗传的粒子群优化算法求解无约束优化问
SimuAPSO 用基于模拟退火的粒子群优化算法求解无约束优化问题(13 PSO algorithms and coursewares)
- 2018-02-22 10:35:56下载
- 积分：1
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可以识别英文字母用MatLAB打开即可
说明： 可以识别电子文档,图片和手写的英文字母,用MatLAB打开即可(It can recognize electronic documents, pictures and handwritten English letters. It can be opened with MatLAB.)
- 2020-07-04 16:00:02下载
- 积分：1
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SVM
支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度，Accuracy）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力[14]（或称泛化能力）。 (SVM is based on statistical learning theory and the theory of VC dimension based on structural risk minimization principle, according to the limited sample of information in the model complexity (ie, training samples of a specific learning accuracy, Accuracy) and learning ability (ie, error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability [14] (or generalization).)
- 2010-10-25 17:19:32下载
- 积分：1
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simple-Fourier-transformation
说明： 使用MATLAB对周期性脉冲波进行了简单的傅里叶变换(Simple Fourier Transform on periodic pulse wave by using MATLAB)
- 2011-03-31 09:39:17下载
- 积分：1
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MAP-DCT
Image processing: MAP and DCT implementation in Matlab
- 2011-04-26 01:31:42下载
- 积分：1
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of14
this simulation script set allows for an OFDM transmission to be
simulated.
- 2011-07-30 23:37:39下载
- 积分：1
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EDFFC
FOR HELP AND DOCUMENT FOR POWER FCD C
- 2015-03-06 20:31:40下载
- 积分：1
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function2
Defining the plot Function for the DocPolynom Class
The MATLAB plot function creates line graphs. The overloaded plot function selects the domain of the independent variable to be slightly larger than an interval containing all real roots. Then the polyval method is used to evaluate the polynomial at a few hundred points in the domain:
- 2011-02-12 00:08:24下载
- 积分：1
