CN CN122472247A

一种基于Stacking集成学习架构的计算模型及构建方法、应用

Abstract

本发明提供一种基于Stacking集成学习架构的计算模型及构建方法、应用，包括：多模型运算层，配置为接收外部输入数据，其内部设置有：核运算单元，基于核运算模型对所述外部输入数据执行第二处理，产生第二中间数据；前馈网络运算单元，基于前馈神经网络模型对所述外部输入数据执行第三处理，产生第三中间数据；本发明采用积分法计算各处理在不同生育阶段的LAD，并结合方差分析量化耕作方式、秸秆还田与追氮管理的主效应及阶段性影响。深翻结合秸秆还田及追氮处理在前期冠层构建与中后期维持上表现最优，总LAD处于领先水平，且各因素影响相对独立，能够全面反映耕作措施对全生育期光合截获面积延伸和生长潜力积累的综合效应。

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