资源列表
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)
SOM神经网络的数据分类--柴油机故障诊断
- 根据燃油压力波的特性，完成柴油机故障诊断分类。(According to the characteristics of the fuel pressure wave, the diesel engine fault diagnosis is completed.)
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)
lvq
- 自己乱改进的lvq神经网络算法,还有很大的改进空间，希望有人和我交流(just change something to lvq)
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)
libavcodec
- jpeg2000编解码瑞特热任务TV而儿童被我爸(jpeg2000 coder and decode)
ELM
- 基于matlab的ELM实现，对函数进行拟合，可以用来学习了解ELM。(ELM based on the matlab .)