[{"title":"( 12 个子文件 7.26MB ) 基于Transformer的Matlab代码:数据回归与多场景预测工具箱,Transformer在数据回归分析中的应用-基于Matlab代码的实战教学,Transformer回归 Matlab代码\n","children":[{"title":"回归模型的实现与应用随着深度学习技术的发展.docx <span style='color:#111;'> 23.63KB </span>","children":null,"spread":false},{"title":"2.jpg <span style='color:#111;'> 202.95KB </span>","children":null,"spread":false},{"title":"技术博客文章基于的数据回归预测代.docx <span style='color:#111;'> 23.63KB </span>","children":null,"spread":false},{"title":"6.jpg <span style='color:#111;'> 149.41KB </span>","children":null,"spread":false},{"title":"技术随笔回归与代码解析在这个时代作为.docx <span style='color:#111;'> 20.55KB </span>","children":null,"spread":false},{"title":"1.jpg <span style='color:#111;'> 511.83KB </span>","children":null,"spread":false},{"title":"5.jpg <span style='color:#111;'> 247.32KB </span>","children":null,"spread":false},{"title":"形永磁辅助同步磁阻电机的参数化模型研究与应.docx <span style='color:#111;'> 15.34KB </span>","children":null,"spread":false},{"title":"技术博客文章标题回归代码详解一引言在.docx <span style='color:#111;'> 20.55KB </span>","children":null,"spread":false},{"title":"技术博客文章基于的数据回归预测代码解.docx <span style='color:#111;'> 111.57KB </span>","children":null,"spread":false},{"title":"3.jpg <span style='color:#111;'> 333.11KB </span>","children":null,"spread":false},{"title":"4.jpg <span style='color:#111;'> 248.30KB </span>","children":null,"spread":false}],"spread":true}]