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multi-dimensional-particle
- 一维及二维数据粒子算法寻优,包括1)二维粒子算法参数寻优-替代网格寻优;2)一维数据粒子算法寻优(极值)。- One dimensional and two dimensional data particle algorithm optimization, including 1) two dimensional particle algorithm parameter optimization- alternative grid optimization 2) one dimens
Localization
- 经典的无线传感网络(WSN)节点定位算法的matlab代码,算法包括: RSSI, Centroid, APIT, DV-hop, Amorphous, Bounding Box, Grid Scan, MDS-MAP-Classic wireless sensor networks (WSN) localization algorithm matlab code, algorithms include: RSSI, Centroid, APIT, DV-hop, Amorphous, Boun
SVC
- 建立LibSVM预测模型,基于网格算法、粒子群算法、遗传算法优化了模型参数,并由最终模型预测了给定切削参数下零件的粗糙度等级。-Establish LibSVM prediction model, grid-based algorithm, particle swarm optimization, genetic algorithm to optimize the parameters of the model, the final model prediction given by the c
settings
- 使用网格搜索获得xgboost的最佳参数(Use grid search to get the best parameters for xgboost)