资源列表
机器学习代码
- ai圣经深度学习github上的源码，希望对大家有用(The AI Bible studies the source code on GitHub)
element
- VB写的常用算法,以数值计算为主,插值,傅立叶等,()
SaDE-ELM
- 本代码主要是实现超限学习机，以达到在机器学习领域的快速回归(This code is mainly to achieve overrun learning machine, in order to achieve rapid regression in machine learning field.)
《MATLAB神经网络原理与实例精解》源码
- MATLAB神经网络的程序，里面有神经网络的各种算法，还有实例。(MATLAB neural network program, there are various algorithms of neural network, and examples.)
DeepLearnToolbox-master
- 深度学习MATLAB的工具箱，包括CNN、RNN、CAE、LSTM等复杂的神经网络的代码。(Deep learning MATLAB toolbox, including CNN, RNN, CAE, LSTM and other complex neural network code.)
MATLAB神经网络原理与实例精解
- MATLAB神经网络实例教程配套程序，包括感知器、BP神经网络等基本代码。(MATLAB neural network example tutorial matching program, including perceptron, BP neural network and other basic code.)
蚁群聚类算法及其改进
- 用MATLAB实现的蚁群算法，并加入了自己改进的一些内容，包含一群算法原理介绍的详细PPT。(The ant colony algorithm implemented by MATLAB is added to some of its improved contents, including a detailed PPT introduced by a group of algorithm principles.)
万门大学强化学习算法代码RW模型+TD模型
- 万门大学，强化学习，rw模型算法代码实现， V(CS) = V(CS) + A * ( V(US) * us - V(CS) * cs ) td模型， V(s{t}) = V(s{t}) + a[R(t+1) + rV{S(t+1)} - V{S(t)}](In the intensive learning of the University of Wan men, the RW algorithm, the python implementation, the algorithm f
万门大学强化学习GridEvalu模型GridPolicy模型
- 万门大学，强化学习，Grid_world_evaluation模型算法代码实现， V(S) = V(S) + A * ( R(S) + r*V(new_S) - V(S) ) Grid_world_Policy模型， P(S) = P(S) + A * ( R(S) + r*P(new_S) - P(S) )(In the intensive learning of the University of Wan men, the Grid_world_evaluation algo
PID control, f
- Neu ral network control ler
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- 实现神经网络分类，适用于非侵入式电荷分解(Realization of neural network classification)
华为软件大赛
- 2018年华为软件精英挑战赛的框架。实现预测与分配问题。