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結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系...

柯景倫

結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系統建構 = = Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系統建構 =/ 柯景倫.
其他題名:	Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms /
其他題名:	Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms.
作者:	柯景倫
出版者:	雲林縣 :國立虎尾科技大學 , : 民114.07.,
面頁冊數:	[10], 57面 :圖, 表 ; : 30公分.;
附註:	指導教授: 吳瑋特.
標題:	摩擦因子. -
電子資源:	電子資源

結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系統建構 = = Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms /
柯景倫

結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系統建構 =Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms /Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms.柯景倫. - 初版. - 雲林縣 :國立虎尾科技大學 ,民114.07. - [10], 57面 :圖, 表 ;30公分.

指導教授: 吳瑋特.

碩士論文--國立虎尾科技大學機械與電腦輔助工程系碩士班.

含參考書目.

(平裝).Subjects--Topical Terms:

1494477
摩擦因子.

結合隨機森林與支持向量機演算法之金屬濾網摩擦因子模型誤差推估與修正係數系統建構 = = Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms /
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246 1 1 $a Development of an Error Estimation and Correction Coefficient System for Friction Factor Modeling of Metallic Mesh Using Integrated Random Forest and Support Vector Machine Algorithms.
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