资源列表
shili
- 人工智能基于解释学习的两个实例，都是使用prolog语言编写实现-Artificial intelligence based on the interpretation of the two examples of learning, are using the Prolog language to achieve
DecisionTree
- 使用c++实现了决策树算法,举了一个比较合适的例子对其进行了说明。-Using c++ to achieve the decision tree algorithm, to give a more appropriate example of its descr iption.
ant-colony-algorithm
- 详细介绍了蚁群算法，并提供了相关案例分析。是学习蚁群算法的好资料。-Ant colony algorithm was introduced in detail, and provides the related case analysis. Is the study of ant colony algorithm is a good information.
AS-matlab-source
- 基本蚁群算法的matlab程序，以旅行商问题（TSP）为求解模型。-The basic ant colony algorithm matlab procedures to the traveling salesman problem (TSP) to solve the model.
svm
- 这是一个基于SVM的葡萄酒分类代码，里面的数据、程序都有，大家可以相互学习-This is a SVM based wine classification code, which the data, the program has, we can learn each other
GridSearch-SVM
- 这是基于GridSearch的svm优化，里面有数据，也有非常完整的程序，希望大家下载-This is based on the SVM GridSearch optimization, there are data, there are very complete program, I hope everyone to download, learn each other
GA-SVM
- 这是一个基于GA优化SVM的程序代码，里面有相对应的数据和程序，希望大家下载，相互学习。-This is a GA based on the SVM optimization of the program code, which has the corresponding data and procedures, I hope everyone to download, learn each other
PSO_test
- matlab实现人工智能算法粒子群算法PSO。可以进行优化计算，在解空间中寻找最优解。-matlab achieve artificial intelligence algorithm particle swarm optimization PSO. Calculation can be optimized to find the optimal solution in the solution space.
inverted-pendulum-control
- 利用强化学习的自适应动态规划中的值迭代和策略迭代方法，神经网络控制方法，LQR状态调节器最优控制方法，实现了三维倒立摆在飞行器上的稳定控制。鲁棒性很强，进行了高斯白噪声的扰动实验。-Reinforcement learning adaptive dynamic programming in value iteration and policy iteration method, neural network control method, LQR state regulator optimal
_caffe
- windows下安装caffe，python接口-caffe for python
ADMM
- The alternating direction method of multipliers优化算法。简称ADMM，是机器学习中比较广泛使用的约束问题最优化方法。-The alternating direction method of multipliers optimization algorithm. Acronym ADMM, the machine learning problem is more widespread use of constraint optimization me
proximal
- 基于近邻算子的凸优化函数。实现一范数等不可导问题的优化。-Optimization function based on neighbor operator convex. Optimize a norm and other non-lead issues.