资源列表
ctc_simulink
- 在matlab里simulink中实现计算力矩控制的简单仿真(A simple simulation of computing torque control in Simulink is implemented in MATLAB.)
数据 结构实验
- 数学结构的一些算法实现，使用的是C语言进行实现(Some algorithm implementation of mathematical structure)
dynamic
- 将视频转换成dynamic image 做视频分析，内含示例(to get dynamic image from videos, contain gray and RGB two approachs)
BPNet
- 关于神经网络的Python算法，，可以用作分类预测等等问题(An algorithm for neural networks, which is used in classifier by python)
py_ex
- 利用朴素贝叶斯理论，将垃圾邮件的做分类，使用python代码，内涵邮件数据(Naive Bayes theory is used to classify spam, using Python code, and content mail data.)
tree
- 分类决策树的核心思想就是在一个数据集中找到一个最优特征，然后从这个特征的选值中找一个最优候选值，根据这个最优候选值将数据集分为两个子数据集，然后递归上述操作，直到满足指定条件为止。附代码(The core idea of a classified decision tree is to find an optimal feature in a data set, and then find an optimal candidate value from the selected value of
神经网络与机器学习（原书第3版）
- 神经网络机器学习书籍，可以很好的掌握各种神经网络算法(Neural network machine learning books.Can well master various neural network algorithms.)
k_means
- 主成分分析（Principal Component Analysis，PCA）， 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量，转换后的这组变量叫主成分。(It is a statistical method. Through orthogonal transformation, a set of variables that can be correlated can be transformed into a group of linearly irrel
SVM
- SVM(Support Vector Machine)指的是支持向量机，是常见的一种判别方法。在机器学习领域，是一个有监督的学习模型，通常用来进行模式识别、分类以及回归分析。(It is a common discriminant method. In machine learning, it is a supervised learning model, usually used for pattern recognition, classification and regression an
scikit-learn-doc-zh-0.19.X
- 这是我收集的比较好的scikit-learn学习资料(This is the better scikit-learn learning material I have collected)
foc
- matlab仿真，实现永磁同步电机磁场定向转速，电流双闭环控制，采用id=0，svpwm方式(Matlab simulation, to achieve permanent magnet synchronous motor field oriented speed and current double closed loop control, using id=0, SVPWM mode.)
73069349genetic-algorithm
- 磁程序包含遗传算法及基于遗传算法的各种改进(Genetic algorithms and various improvements)