资源列表
Genetic_Algorithm_paralle
- 人工智能中遗传算法运用在最优化中的代码,如果需要应用，直接修改目标函数就可以，开发环境为Visual C++，使用C语言-The use of genetic algorithm in the optimization of the code in the application of artificial intelligence, if necessary, can directly modify the objective function, development environment
BP-neural-network-matlab-program
- BP神经网络matlab程序，三输入两输出，并画出曲线-BP neural network matlab program, three-input two outputs, and draw the curve
01120
- 随机插入法，用以构建初始种群，产生多个多样性的解集。-Random insertion method to construct the initial population, resulting solution set multiple diversity.
cluster_lasso_nnls
- 基于MATLAB的分量lasso程序，利用了glmnet工具包，可以很好的运行-MATLAB-based component lasso procedures, the use of glmnet toolkit can be a good run
zhishengjixuanyi
- 直升机旋翼系统测试数据，共10个mat文件，包含测试数据和训练数据。-Helicopter rotor system test data
network-clustering-network-intrusion
- 基于PCA有监督kohonen网络的网络入侵聚类。里面包含有原代码和说明文件。-Based on PCA supervised kohonen network clustering network intrusion
code
- 数据降维与流形学习，方便初始学者学习数据降维方法和流形学习。-Data dimension reduction and manifold learning
kmeans
- kmeans算法，C++版本，经过测试正常运行。 里面有两个实例。-kmeans algorithm
clustering
- clustering 算法，里面包含有c++源代码，还有一个数据文件。-clustering algorithm
adaboost_PY
- 做机器学习的同学都知道最具代表性的是AdaBoost算法（Adaptive Boosting Algorithm），这个是用Python实现的。希望能有帮助。-The well known AdaBoost algorithm (Adaptive Boosting Algorithm). Here is the Python version. Hope it helps.
Logistic_Regression
- 逻辑回归是当前业界比较常用的机器学习方法,这个是PY实现的。-logistic regression model implemented in Python. Hope this helps.
Particle_Swarm_Optimization
- 此代码为基本粒子群算法代码程序，有详细的注释非常适合新手入门学习。-This code is the code for the PSO program, there are detailed notes very suitable for beginners to learn.