资源列表
PSO_GA_RBF
- 网站找到不错资源，不是原创，但不错，分享供大家学习。(Website to find a good resource, not original, but good, for everyone to learn.)
python_beginner_tutorial
- python的入门书籍，pdf版完整版。英文版 适合与想要学习python的编程基础薄弱者(Python entry books, PDF version of the full version)
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)
神经网络编程_源代码
- 各种神经网络算法，并且有注释，便于改进扩展学习(Various neural network algorithms, and annotated, facilitate improved learning)
machine-learning-ex4
- 吴恩达的coursesra作业for week 5.(Coursera machine learning code for week 5.)
FlappyLearning-gh-pages
- 搭建强化学习网络学习flappybird，代码为js文件。神经网络可改写重用。(Build reinforcement learning network learning flappybird, code for js file. Neural network can be rewritten and reused.)
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)
rbfNN
- RBF网络的回归---实现非线性函数回归的实现(RBFNN realization of nonlinear function regression)
AIA免疫算法
- 数据检测，优化选择免疫算法，可以直接运行。(Data detection, optimization selection immune algorithm)
自适应推进算法
- 手写的adaboost算法。效率没有sklearn高，不过可以作为学习资料(Handwritten AdaBoost algorithm. The efficiency is not sklearn high, but it can be used as learning material)
遗传算法源代码
- 用遗传算法求函数最大值问题，vc++实现，简单明了(Using the genetic algorithm to solve the problem of maximum function, the vc + + implementation is simple and straightforward)
DBN
- 基于python的DBN实现，可以用来数据降维。(Implementation of DBN based on Python)