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- 综合自然激励技术和特征系统实现算法，进行了模拟环境激励下结构的时域模态参数识别(In the method, the transition from structural random response to deterministic response was realized by the natural excitation technique(NExT))
Untitled2
- 我自己做的,关于控制简单例子,不知道怎样(I do it, I don't know how to control a simple example)
WPsvdquzao
- 主要用于对含有噪声的信号进行降噪处理，先小波包降噪再奇异值降噪(It is mainly used to denoise the signal containing noise. First, the wavelet packet de-noising and then the singular value denoising)
实验1
- 最小错误率贝叶斯决策方法的MATLAB程序(Bayesian decision making method with minimum error rate)
qianghuazhi5
- 强化学习之5讲解强化学习的工作原理，通过编程实现(Strengthening the 5 explanation of the working principle of intensive learning by programming)
胶30模型
- 期货 胶30 方向盘日内模型 组合测试报告(Glue 30 model Plug-in function descr iption)
qianguazhi6
- jiangjie强化学习的原理，通过仿真更能理解什么是强化学习(Jiangjie the principle of strengthening learning, through simulation, more understanding of what is intensive learning)
dat file
- fuzzy test file *.rar type
zuoye
- 画图.哪位高手知道edit keypressfcn是如何响应键盘输入的，我想在edit text只要有键盘输入就立即作出响应！(plot figure Create uicontrols to allow users to adjust the appearance of a plot. For instance, create a program file called myui.m that contains the following code.)
kruskal
- kruskal 算法，需要输入边和权值的向量。顶点数为m的 m乘m大小的上三角矩阵， 并且 没有权值的顶点之间关系的权值等于50(Kruskal algorithm, the vector that requires the input edge and the weight value. M multiplied by the M size of the upper trigonometric matrix with the vertex number of M, And the weig
arimanet
- ARIMA模型全称为自回归积分滑动平均模型(Autoregressive Integrated Moving Average Model,简记ARIMA)，是由博克思(Box)和詹金斯(Jenkins)于70年代初提出一著名时间序列预测方法[1] ，所以又称为box-jenkins模型、博克思-詹金斯法。其中ARIMA（p，d，q）称为差分自回归移动平均模型，AR是自回归， p为自回归项； MA为移动平均，q为移动平均项数，d为时间序列成为平稳时所做的差分次数。所谓ARIMA模型，是指将非平稳
bfo
- 一种智能细菌搜索算法，适用于初学者，适用于初学者。(An intelligent bacterial search algorithm, which is suitable for beginners and suitable for beginners.)