资源列表
qianguazhi6
- jiangjie强化学习的原理，通过仿真更能理解什么是强化学习(Jiangjie the principle of strengthening learning, through simulation, more understanding of what is intensive learning)
qianghuazhi7
- 强化学习是机器学习中的一类，通过本实例讲解怎样运用强化(Reinforcement learning is a kind of machine learning. It explains how to use strengthening through this example.)
qianghuazhi8
- 强化学习比较抽象，要想理解强化学习，必须通过实例才能理解(Intensive learning is more abstract. In order to understand intensive learning, it must be understood through an example.)
pr
- 用遗传算法和ostu法对灰度图像阈值分割(Threshold segmentation for gray image)
GA多目标约束问题
- 遗传算法主要用于多目标约束问题中，非常简单(GA is a method of searching for the optimal solution by simulating the natural evolutionary process. It is often used in CRN resource optimization. GA starts with a popu-lation that represents a potential set of solutions to a p
matlab100examples
- 提供了100个MATLAB的实例，可以非常方便地实验，可以解决毕业论文的烦恼！(Provides 100 examples of MATLAB, can be very convenient to experiment, can solve the problem of graduation thesis!)
ORNEK_PERMUTASYON
- Simple/Sample permutasion
机器人轨迹规划
- 机器人轨迹规划，人工势场法实现轨迹规划，matlab程序(Robot trajectory planning, artificial potential field method for trajectory planning, matlab program)
fisher
- 利用fisher方法实现手写体数字多分类识别，采用mnist数据集(simple program using fisher)
least_square
- 利用最小二乘法实现手写体数字识别，采用mnist数据集(simple program using least-square)
sharpe calculation
- 根据现金和资产,通过风险的调整,计算并直观化夏普率,并得到相应的回报率(According to the cash and assets, through the adjustment of the risk, calculate and visualize the SHARP rate, and get the corresponding rate of return.)
MovieLens-RecSys-python2
- 基于Movielens 1M数据集分别实现了User Based Collaborative Filtering（以下简称UserCF）和Item Based Collaborative Filtering（以下简称ItemCF）两个算法.(Implementation of collaborative filtering based on UCF/ICF)