[{"title":"( 9 个子文件 36KB ) 基于粒子群算法(PSO)优化混合核极限学习机HKELM回归预测, PSO-HKELM数据回归预测,多变量输入模型 \n\n优化参数为","children":[{"title":"calc_error.m <span style='color:#111;'> 1.60KB </span>","children":null,"spread":false},{"title":"kelmPredict.m <span style='color:#111;'> 236B </span>","children":null,"spread":false},{"title":"kelmTrain.m <span style='color:#111;'> 352B </span>","children":null,"spread":false},{"title":"fobj.m <span style='color:#111;'> 672B </span>","children":null,"spread":false},{"title":"initialization.m <span style='color:#111;'> 487B </span>","children":null,"spread":false},{"title":"main.m <span style='color:#111;'> 1.44KB </span>","children":null,"spread":false},{"title":"PSO.m <span style='color:#111;'> 2.37KB </span>","children":null,"spread":false},{"title":"kernel_matrix.m <span style='color:#111;'> 781B </span>","children":null,"spread":false},{"title":"data.xlsx <span style='color:#111;'> 35.84KB </span>","children":null,"spread":false}],"spread":true}]