资源列表
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。
BayesKit
- 贝叶斯网络，又称信念网络(Belief Network, BN), 或有向无环图模型，是由一个有向无环图(DAG,Directed acyclic graphical model)和条件概率分布(即知道P(xi|parent(xi))发生的概率构成，其中parent(xi)为指向xi的直接父节点)。它是一种模拟人类推理过程中因果关系的不确定性处理模型，其网络拓朴结构是一个有向无环图(DAG)。(Bayesian networks, also known as belief networks (B
example2
- python的窗口界面实例，包含账号的登录与注册以及账号退出等功能。(The window interface instance of Python includes functions such as login and registration of account, and account exit.)
maze solving algorithm
- Examples of applying the wall-follower, BFS, A* maze solving algorithms to solve a known maze environment.
迁移学习简明教程
- 这是一本最新的关于迁移学些的介绍文档，内容有85页左右，对迁移学习的方方面面介绍的比较到位，其中还有迁移学习的大牛 杨强教授对该内容提出了宝贵的意见。(A brief tutorial on migration learning)
lssvm_prediction
- LSSVM时间序列预测，基于matlab lssvm工具箱！推荐！！！！！(LSSVM time series prediction is based on MATLAB LSSVM toolbox. Recommend!!!!!)
knn
- 通过比较欧氏距离，定义K值，实现了机器学习中的KNN算法(By comparing Euclidean distance, we define the K value and realize the KNN algorithm in machine learning.)
lstm-text-classfication
- 通过机器学习中的长短时记忆单元实现对文本进行分类的算法。(The long short term memory unit realizes the algorithm of classifying text by machine learning.)
seq2seq
- 通过机器学习算法实现类似文本翻译之类的文本与文本的转换的功能。(The function of text translation is realized by machine learning algorithm.)