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rvm-wind-power-forecast
- 相关向量机用于风电场功率预测和各种大数据分类问题，单变量输出-Relevance vector machine for a wind farm power prediction and a variety of large data classification problem, univariate output
shortest-path-of-N
- N最短路径是K最短路径（KSP）的变种，KSP指的是DAG中单源路径中前K条最短的路径- N shortest path is the shortest path (KSP) of K, KSP refers to the DAG in the single source path of the shortest path in the former K
MLKNN
- 针对单标记学习算法KNN进行改进，适用于多标记数据集改造而成的多标记K临近算法。java代码-Improved learning algorithm for single marker KNN, suitable for multi-label data sets adapted multi-label K near the algorithm. java code
6775416
- 用数值算法这里用的是矩量法计算地面上方单导体传输线的电容()
bqgdlarlyclipboard
- 图论算法库,包括以下算法： 单源最短路径 Dijkstra 算法 单源最短路径 Bellman-Ford 算法 最小生成树()
EEMD
- 该算法可自适应地将信号分解成若干单分量信号(The algorithm can adaptively decompose the signal into several single component signals.)
ELM_样例
- 极限学习机（Extreme Learning Machine, ELM）用来训练单隐藏层前馈神经网络（SLFN）与传统的SLFN训练算法不同，极限学习机随机选取输入层权重和隐藏层偏置，输出层权重通过激活函数函数，依据Moore-Penrose（MP）广义逆矩阵理论计算解析求出。(Extreme learning machine (ELM) is used to train single hidden layer feedforward neural network (SLFN). Differe