classification theorem 中文意思是什麼

classification theorem 解釋
分類定理
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  • theorem : n. 1. （能證明的）一般原理，公理，定律，法則。2. 【數學】定理。
  1. So r0 operator and godel operator are united in the systems ha the negation - a with respect to parameter a is defined in ha, the many - valued system h1 / 2 = ( [ 0, 1 ] - 1 / 2, 1 / 2 ) is discussed in detail. the classification theorem of tautologies in f ( s ) is obtained in h1 / 2. the classfication of tautologies is defined on hq

    本文還在h _系統中引入了帶參數的非運算，較細致地研究了多值系統的子代數理論，以為賦值域建立了f （ s ）中重言式的分類定理，並將廣義重言式分類定理推廣到系統h _ （ 0 1 ）中。
  2. Bayesian classification is based on bayesian theorem. it can be comparable in interpretability with decision tree and in speed with neural network classifiers. bayesian classifiers have also exhibited high accuracy and speed when applied to large databases

    該演算法基於貝葉斯定理，可解釋性方面可以與判定樹相比，準確度可和神經網路分類演算法相媲美，用於大型數據庫時該演算法已表現出高準確度與高速度。
  3. Chapter one has introduced the background and classification of minimax theorems ; chapter two summarizes several proof method of minimax theorems, which are illustrated with examples ; chapter three has explained the development general situation of minimax theorems for a function and for two functions with chapter four respectively, and according to the classification of the theorem, has illustrated some important conclusionses in quantitative minimax theorems, topological minimax theorems and quantitative - topological minimax theorems separately

    第一章介紹了極大極小定理的背景及其分類；第二章總結了極大極小定理的幾種證明方法，並舉出例子進行說明；第三章和第四章分別闡述了單函數的極大極小定理和兩個函數的極大極小定理的發展概況，在第三章中，按照極大極小定理的分類，分別對數量極大極小定理，拓撲極大極小定理和數量拓撲極大極小定理的一些重要結論作了介紹。
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