资源列表
logisticRegressionshiyan线性回归
- 用于数据挖掘，疾病自动诊断，经济预测等领域。例如，探讨引发疾病的危险因素，建立Logistics回归模型，并根据此预测疾病发生的概率等(Used for data mining, disease automatic diagnosis, economic forecasting and other fields. For example, to explore the risk factors for disease, establish Logistics regression model,
随机数
- 该程序可以实现随机数的产生.......该程序可以实现随机数的产生(The program can realize the generation of random numbers)
scatterbar
- 3D绘图算法的函数，可以自动生成3维图像。(The function of 3D drawing algorithm can automatically generate 3 dimensional images.)
MathFunction
- 数值模拟仿真，根据公式模拟不同参数对结果的影响(Numerical simulation simulation)
最短路径
- 实现一些lingo最短路径问题，体现最优化的特点(To achieve some lingo shortest path problems, it reflects the characteristics of optimization.)
ESPRIT
- 利用 ESPRIT 进行波达方向估计，平台为python3.6，主要使用numpy和matplotlib(DOA using ESPRIT -----------python3.6 + numpy + matplotlib)
seven nodes example
- 北航最优化第一次大作业。多商品流问题的七节点算例，目标函数为极小化FT成本函数和极小化最大弧利用率。(a seven nodes example of multi-product flow)
moco
- 语音识别领域的经典论文实现，提供一个可训练的数学模型以预测语音特征(provide a s2s model for speech synthesis and network prediction with python and, e2e solution for production of google)
PLSPCAT2andspe
- 故障检测，分别是pls和pca，计算spe和t2控制量。(Fault detection is pls and PCA, respectively, to calculate SPE and T2 control.)
7
- 矩阵的二元组存储，一般形式输出，慢速及快速转置(Matrix two tuple storage, general form output, slow and fast transposition.)
functionequation
- 求解微风方程边界条件限制下的解。解一个方程组， du/dx+dv/dx=0 u=dn/dx v=-dm/dx du/dx=-exp(-x)+n*m/(m+n) 边界条件和初值条件 u(p)=0,u(0)=v(p),v(0)=0 n(0)=q 其中函数自变量为x，边界条件和初值条件中p为常量，q为变量(Solving the solution of the boundary condition of the breeze equation)
rbf-svm.py
- 通过SVM可以对两个半月形的数据簇进行分类(By using SVM, two semilunar data clusters can be classified.)