资源列表
20171211留档
- 利用SVM对制备的样本进行三分类，对图像进行三角形匹配，模板匹配(SVM was used to classify the samples in three categories. Triangle matching and template matching were applied to the images.)
RocAlphaGo-cython-optimization
- 仿照谷歌alphago原理的围棋程序，目前只有快速走子网络还没有完善好(this is a program according alphago theory)
ALGOINTRO
- 《算法导论（原书第3版）》英文，很经典的一本书(Introduction to algorithms 3rd English)
GA
- 遗传算法求解TSP，可以运行，效果好。。(Genetic algorithm for TSP)
shujvwajue
- Apriori算法C++实现，备注见代码，读取数据文件可用，格式为多行数据。数字代表事物(Apriori algorithm C++ implementation, notes see code, read data files available, format for multi row data. Numbers represent things)
Kmeans_java
- 使用Java语言实现了简单的K-Means聚类算法(A simple K-Means clustering algorithm is implemented in Java language.)
pca-人脸识别
- 运用PCA算法，可以通过摄像头实时获取人脸，进行人脸识别。(By using PCA algorithm, we can get face in real time by camera and face recognition.)
kNN
- knn分类器, 机器学习实战第二章代码，k最近邻分类，适用于低维数据的分类器(classifier (KNN algorithm))
CMAC逼近非线性函数
- 利用小脑模型神经网络逼近非线性函数，MATLAB编写m文件实现，给出逼近误差(Cerebellar model neural network is used to approximate nonlinear functions. MATLAB is used to write M files, and approximation error is given.)
RBF神经网络逼近非线性函数
- 利用径向基神经网络逼近非线性函数，MATLAB编程实现，给出训练误差(Radial basis function neural network is used to approximate nonlinear functions. MATLAB programming is implemented to give training error.)
bicycle_tf
- 使用tensorflow实现的四层神经网络，并将网络节点参数进行储存(a neural network by python)
ART2py-master
- ART2（自适应共振理论）的python实现(Python implementation of ART2 (Adaptive Resonance Theory))