资源列表
选址定容
- 经典遗传算法，简单易懂。适合初学者使用，是分布式电源的选址定容的算法(Classical genetic algorithm is simple and easy to understand. It is suitable for beginners to use. It is an algorithm for locating and sizing distributed power.)
knn
- matlab 实现鸢尾花数据集的KNN算法(Matlab implementation of KNN algorithm)
matlab
- pn结模拟：一维PN结的模拟 ，有限元法 结合耦合法，新手求交流(Pn junction simulation: one-dimensional pn junction simulation, finite element method combined with coupling method, novice for communication)
12.XGBoost代码
- 压缩文件里有xgboost算法的源代码，可以直接运行，帮助初学者(Compressed file contains the source code of xgboost algorithm, which can run directly to help beginners.)
RandomForest_matlab
- 用matlab实现随机森林算法，里面附有说明文档，参数可调节(The implementation of stochastic forest algorithm with matlab, which has instructions and adjustable parameters)
基于matlab的选址问题程序
- 使用佛洛依德算法，可以任意增添，或修改地点，通过加权后的结果得出最优解。可用来配电网规划设计。
全覆盖栅格移动
- 写的遗传算法，欢迎下载，已经在PC端测试过了，方法确实可行(Written genetic algorithm, welcome to download)
lstm
- 实现一多维时序数据的预测，相关参数可自行修改(Realization of prediction of multidimensional time series data)
重要-SARSA
- 强化学习的一种，基于sarsa算法，寻找最优路径，可运行(One kind of reinforcement learning, based on sarsa algorithm, seeks the optimal path, which can run)
遗传算法优化的BP神经网络
- 遗传算法优化BP 神经网络是用遗传算法来优化BP 神经网络的初始权值和阔值，使优化 后的BP 神经网络能够更好地预测函数输出。遗传算法优化BP 神经网络的要素包括种群初 始化、造应度函数、选择操作、交叉操作和变异操作。(Genetic algorithm optimizes BP neural network by using genetic algorithm to optimize the initial weight and broad value of BP neural netwo
深度机器学习DBN
- 深度神经网络算法，可直接用用于模型训练，进行机器学习。算法可靠。(The deep neural network algorithm can be directly used for model training and machine learning. The algorithm is reliable.)
核极限学习机
- 核极限学习机程序，可以直接调用，满足分类要求。(Extreme Learning Machine Program)