Trading-Strategies-(14)

用于工业过程当中对数据进行预测，其模型简单易懂(Used in industry in the process of data to carry on the forecast, the model simple to understand)

二分类逻辑回归matlab代码,运行有效，包含图形说明。(Binary logistic regression matlab code to run efficiently, including graphical instructions.)

其中包含了一些不同条件下的粒子群算法，希望对大家有所帮助。(Which contains a number of particle swarm algorithm under different conditions, we want to help.)

以最小均方算法为约束条件的自适应波束形成(Adaptive beamforming with the minimum mean square algorithm as the constraint)

ex5_1 I-型线性相位FIR滤波器 ex5_2 II-型线性相位FIR滤波器 ex5_3 III-型线性相位FIR滤波器 ex5_4 IV-型线性相位FIR滤波器 ex5_5 矩形窗频响 ex5_6 希尔伯特变换器设计－汉宁窗 ex5_7 低通滤波器设计－汉明窗 ex5_8 带通滤波器设计－布莱克曼窗 ex5_9 低通滤波器设计－凯塞窗 ex5_11 频率采样技术：低通，朴素法 ex5_12 频率采样技术：低通, 最优法T1 & T2 ex5_13 频率采样技术：带通, 最优法T1 & T2 ex5_14 频率采样技术：高通, 最优法T1 ex5_15 频率采样技术：差分器 ex5_16 频率采样技术： 希尔伯特变换器 ex5_17 利用Parks-McClella算法设计低通滤波器 ex5_18 用PM算法进行的带通滤波器设计 ex5_19 用PM算法进行的高通滤波器设计 ex5_20 用PM算法进行的阶梯滤波器设计 ex5_21 用PM算法进行的差分器设计 ex5_22 用PM算法进行的希尔伯特变换器设计(ex5_1 I-type linear phase FIR filter ex5_2 II-type linear phase FIR filter ex5_3 III-type linear phase FIR filter ex5_4 IV-type linear phase FIR filter rectangular window frequency response ex5_5 Hilbert ex5_6 converter design- Hanning window low-pass filter design ex5_7- Hamming window ex5_8 bandpass filter design- Blackman window ex5_9 low-pass filter design- Kaiser window ex5_11 sampling frequency: low-pass, a simple method ex5_12 sampling frequency: low-pass, optimal method T1 & T2 sampling frequency ex5_13: band-pass, optimal method T1 & T2 ex5_14 sampling frequency: high-pass, optimal method T1 sampling frequency ex5_15: differentiator sampling frequency ex5_16: Hilbert converter Parks-McClella use ex5_17 algorithm design low-pass filter PM algorithm ex5_18 with the band-pass filter design PM algorithm ex5_19 with the high-pass filter design PM algorithm used ex5_20 ladder filter design PM algorithm used ex5_21 differential design PM al)

curvature test for fitting model.

这是一个贝叶斯分类器，用于人工智能的科研学习和工作，有例子可以参考(Bayesian classifier, artificial intelligence for research study and work, there are examples you can refer to)

根据已给数据，画出风场示意图。有图例，方向。(draw wind field)

产生了PN序列，并通过仿真检测了他的自相关特性。(generate the PN sequency an simulate the auto-correlation property.)

Dandn文件给出了输入参数的名称及格式，即在调用prim前先输入邻接矩阵D和节点个数n输入prim得到两行的矩阵T,将上下两行数字对应的节点相连即可(Dandn file gives the name and format of the input parameters, namely, the input before calling the prim adjacency matrix D and the number of nodes n prim get two lines of the input matrix T, the bottom two lines connected to the node numbers corresponding)