资源列表
Qlearning
- 强化学习 matlab 强化学习 强化学习 强化学习(reforcement learning)
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 .)
bp
- 神经网络预测,通过给定数据对以后数据时间预测，两种神经网络预测方法(Neural network prediction, two kinds of neural network prediction methods through the given data for later data time prediction)
改进遗传算法
- 改进的遗传算法，求解路径寻优的问题，加快了寻找全局最优解的速度(The improved genetic algorithm solves the problem of path optimization and accelerates the speed of finding the global optimal solution)
DeepLearningDropout-master
- dropout和深度学习算法的结合使用，有详细的使用说明和数据集(Three types of layers: - C: convolutional layer (matrix map) - MP: max-pooling layer (matrix map) - F: fully connected layer (vector map) - O: output layer Convolutional Layers: - Scale: scale (size of p
DeepLearnToolbox-master
- 基于matlab的深度学习工具箱，里面有各种网络的程序实例，非常好用！(Matlab based depth learning toolbox, which has a variety of network procedures examples, very easy to use!)
神经网络编程_源代码
- 神经网络预测数据，功能强大，非常给力，大方分享(shenjingdsadasdasd asdasdasdasd)
NNC
- K近邻算法，亲测，可运行，手动输入近邻个数(The nearest neighbor algorithm)
机器学习_周志华
- 机器学习推荐入门书籍，通过浅显易懂的语言深入浅出的介绍了机器学习相关基础知识。(Machine learning recommended introductory book)
rbf
- RBF神经网络，可实现对风速预测等时间序列的预测(RBF neural network which can be used to predict time list)
基于Matlab的ARMA模型时间序列分析法仿真
- 对ARMA时间序列模型在matlab上进行仿真实现。(The ARMA time series model is simulated on matlab.)
RBF神经网络的训练 MATLAB源程序代码
- RBF神经网络的训练 MATLAB源程序代码(RBF neural network training MATLAB source code)