资源列表
2
- 定义遗传算法，对函数图与进化过程进行画图表示-The genetic algorithm is defined, and the function graph and the evolution process are drawn
PSO
- 实现PSO优化算法的程序，对学习PSO的学者提供一定的帮助。(PSO optimization algorithm to achieve the program, PSO scholars to learn to provide some help.)
ga优化rbf
- 发现的不错资源，但愿对大家学习算法有帮助，促进学习。(Found a good resource, I hope we learn the algorithm to help, to promote learning.)
mainProgram
- 主要是用BP神经网络对隐含用户做预测,一个练习，效果如何没有验证(use the BP ANNs Predicted the wideband user)
Qlearning
- 强化学习 matlab 强化学习 强化学习 强化学习(reforcement learning)
SVM
- 先实用熵权法对建模参数进行权重分析，在用svm算法进行训练预测(Firstly, the weights of the parameters are analyzed by entropy weight method, and the training is predicted by SVM algorithm)
fish swarming
- artificial fish, swarm intelligence
knn
- 邻近算法，或者说K最近邻(kNN，k-NearestNeighbor)分类算法是数据挖掘分类技术中最简单的方法之一。所谓K最近邻，就是k个最近的邻居的意思，说的是每个样本都可以用它最接近的k个邻居来代表。(Neighborhood algorithm, or K nearest neighbor (kNN, k-NearestNeighbor) classification algorithm is one of the simplest methods in data mining class
BP神经网络
- 利用BP神经网络去做函数逼近和解决分类问题(BP neural network is used to do function approximation and solve classification problem)
audoencoder
- autoencoder自动编码python实现(sparse autoencoder python)
BP
- BP神经网络经过训练与学习，逼近非线性函数(BP neural networks are trained and studied to approximate nonlinear functions)
apriori
- 数据挖掘Aprior的简易c++实现，通过string来表示数据集，没有采用STL set集合操作，因此实现起来简单一些，判断是否包含用到了动态规划算法中的最长公共子序列，思想是暴力求解，没有用到很高端的思想和算法。(Simple c++ data mining Aprior, said data set by the string, without the use of STL set collection operation, thus the realization is simple,