The thalassella algorithm combined with extreme learning machine is used to predict wind power according to wind speed, temperature and other conditions with wind farm data

Filename	Size	Update
SSA（樽海鞘群算法）	0	2019-07-15
SSA（樽海鞘群算法）\ELMfun.m	179	2019-01-17
SSA（樽海鞘群算法）\ELMfun2.m	223	2019-01-17
SSA（樽海鞘群算法）\Get_Functions_details.m	6760	2019-03-15
SSA（樽海鞘群算法）\SSA.jpg	115800	2017-07-16
SSA（樽海鞘群算法）\SSA.m	2417	2019-03-14
SSA（樽海鞘群算法）\SSA.zip	111581	2019-03-12
SSA（樽海鞘群算法）\SSA_ELM.m	6386	2019-04-11
SSA（樽海鞘群算法）\SSA_testsamout2.mat	1237	2019-04-11
SSA（樽海鞘群算法）\elmpredict.m	1376	2019-01-17
SSA（樽海鞘群算法）\elmtrain.m	1828	2019-03-15
SSA（樽海鞘群算法）\elmtrain2.m	1766	2019-01-17
SSA（樽海鞘群算法）\func_plot.m	3022	2019-03-14
SSA（樽海鞘群算法）\gonglv.mat	6813	2019-03-11
SSA（樽海鞘群算法）\gonglv1.mat	4348	2019-03-17
SSA（樽海鞘群算法）\initialization.m	1421	2019-03-14
SSA（樽海鞘群算法）\main.m	3970	2019-03-16
SSA（樽海鞘群算法）\richuyishu.m	247	2019-03-17
SSA（樽海鞘群算法）\speedwendu.mat	11522	2019-03-11
SSA（樽海鞘群算法）\speedwendu1.mat	6582	2019-03-17

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