26年WH数据科学与大数据技术 新型组合模型构建1.1自适应权重分解集成框架：-全日-约3745字符.pdf

1 新型组合模型构建1.1 自适应权重分解集成框架：Python 实现代码如下：```pythondef adaptive_weight_framework(trend， seasonal， residual):weights = np.array([0.4， 0.4， 0.2])trend_pred = arima_model.forecast(trend)seasonal_pred = sarima_model.forecast(seasonal)residual_pred = xgboost_model.predict(residual)final_pred=weights*trend_pred+weights*seasonal_pred+weights*residual_predreturn final_pred， weights```1.2 时序特征增强残差修正结构：Python 实现代码如下：```pythonclass TimeSeriesEnhancedModel(nn.Module)...