资源列表
convLSTM_minimum-master
- 卷积长短期机器模型用于预测空间上与时间上的值,是基于LSTM模型的改进算法(Convolutional long-term and short-term machine model is an improved algorithm based on LSTM model for predicting spatial and temporal values.)
MATLAB
- matlab使用layrecnet实现循环神经网络rnn(Matlab uses recurrent neural network to implement recurrent neural network RNN.)
DNN
- 深度神经网络搭建,搭建一个深层的神经网络用于训练。(A deep neural network is built to build a deep neural network for training.)
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)