[{"title":"( 4 个子文件 4.12MB ) 基于GOSO/ISO改进算法的XGBoost回归预测模型及其混沌映射与反向学习策略的应用","children":[{"title":"基于改进的GOSO ISO算法优化XGBoost回归预测:结合混沌映射、减法优化器与反向学习策略的极.docx <span style='color:#111;'> 37.54KB </span>","children":null,"spread":false},{"title":"基于GOSOISO改进算法的XGBoost回归预测模型及其混沌映射与反向学习策略的应用.pdf <span style='color:#111;'> 129.45KB </span>","children":null,"spread":false},{"title":"基于GOSOISO算法改进的XGBoost树数据回归预测模型.docx <span style='color:#111;'> 37.44KB </span>","children":null,"spread":false},{"title":"基于改进的GOSO ISO算法优化极限梯度提升树XGBoost的数据回归预测:从混沌映射到减法优化器算法的深度探索与性能提升.html <span style='color:#111;'> 5.22MB </span>","children":null,"spread":false}],"spread":true}]