[{"title":"( 16 个子文件 20KB ) 基于樽海鞘算法(SSA)的极限学习机(ELM)回归预测与BP、GRNN、ELM比较","children":[{"title":"ceshi_1.mat <span style='color:#111;'> 380B </span>","children":null,"spread":false},{"title":"elmpredict.m <span style='color:#111;'> 1.42KB </span>","children":null,"spread":false},{"title":"BP_GRNN_force.asv <span style='color:#111;'> 3.90KB </span>","children":null,"spread":false},{"title":"Readme.txt <span style='color:#111;'> 34B </span>","children":null,"spread":false},{"title":"efficiency_ELM2.mat <span style='color:#111;'> 5.81KB </span>","children":null,"spread":false},{"title":"a.mat <span style='color:#111;'> 974B </span>","children":null,"spread":false},{"title":"fun.m <span style='color:#111;'> 462B </span>","children":null,"spread":false},{"title":"test_BrBs.mat <span style='color:#111;'> 855B </span>","children":null,"spread":false},{"title":"elmtrainNew.m <span style='color:#111;'> 1.76KB </span>","children":null,"spread":false},{"title":"data_BrBs.mat <span style='color:#111;'> 1.34KB </span>","children":null,"spread":false},{"title":"efficiency_ELM.m <span style='color:#111;'> 1.28KB </span>","children":null,"spread":false},{"title":"initialization.m <span style='color:#111;'> 1.29KB </span>","children":null,"spread":false},{"title":"JM_1.mat <span style='color:#111;'> 1.07KB </span>","children":null,"spread":false},{"title":"SSA.m <span style='color:#111;'> 3.04KB </span>","children":null,"spread":false},{"title":"BP_GRNN_ELM_SSSA-ELM.m <span style='color:#111;'> 3.50KB </span>","children":null,"spread":false},{"title":"elmtrain.m <span style='color:#111;'> 1.71KB </span>","children":null,"spread":false}],"spread":true}]