數學完備性英文怎麼說

數學完備性 的英文翻譯

數學完備性 例句

1. In chapter 3, we study the property of complete exceptional sequence. in chapter 4, we make research on the hochschild cohomology of endomorphism algebras of complete exceptional sequence over hereditary algebras
   第三章，我們證明了有限維遺傳代 數 中， 完 備 例外序列的維 數 向量的 性 質定理以及 完 備 例外序列的誠實 性 。
2. An algebraic proof of completeness theorem of first - order logic
   一階邏輯 完 備 性 定理的代 數 證明
3. Finally we design a project of testing and evaluating csi and demonstrate by the method of the hiberarchy, the fornell method and the p - m fuzzy measure method, contrast these methods, the scientific character of the p - m fuzzy measure method is tested, and we can conclude that the testing and evaluating the csi in the p - m fuzzy measure space will reinforce the flexility of the measure system, realize the feedback mechanism of the testing and evaluating system of csi, and the integrality of the testing system is improved
   最後通過對一個具體的csi評價項目的設計，分別用層次法、 fornen方法和屍一m模糊測度方法進行實證研究，通過這幾種方法的對比分析，我們在實踐中檢驗了p一- m模糊測度原理的科 學 性 ，得出了在p一m模糊測度空間中進行cs工測評，將會增強系統的測度柔 性 ，實現了cs工測評系統的反饋機制，提高了測評系統的 完 備 性 的結論。
4. The introduction reveals if s value to the research of the development of zen, and of the development of thought of zen in china. the second chapter tries to solve the problems of the decision of the names of some manual scripts in dunhuang zen documents and some other problems. it clears the misunderstanding in a few important questions. the next chapter, stepping in from a researching and data - sorting - out view, discusses in details the writing symbols and their explanations in the zen documents and the mistakes often seen in proof - reading, etymological and semantic explanations of words and phrases
   第一章概要論述了敦煌禪宗文獻的內容、時代及研究的歷史與現狀，揭示了敦煌禪宗文獻在中國禪宗發展史、禪思想史研究方面的重要價值；第二章對敦煌禪宗文獻部分寫卷的定名及諸多問題進行了考論，澄清了已往對一些重大問題的錯誤認識；第三章從文獻整理與研究的角度切入，對敦煌禪宗文獻的書寫符號與釋讀、寫本的常見錯誤、校勘以及詞語考釋等作了詳細論述，揭示出釋讀校理敦煌文獻與研治敦煌 學 的普遍規律；第四章就敦煌禪宗文獻的語料價值，包括對大型語文辭書的局限 性 、失收詞語、釋義、溯源等問題的探討，為辭書編纂修訂和構建科 學 完 備 的漢語史提供了第一手資料。
5. Firstly, influence factors of generalization of neural network are presented in this thesis, in order to improve neural network ’ s generalization ability and dynamic knowledge acquirement adaptive ability, a structure auto - adaptive neural network new model based on genetic algorithm is proposed to optimize structure parameter of nn including hidden layer nodes, training epochs, initial weights, and so on ; secondly, through establishing integrating neural network and introducing data fusion technique, the integrality and precision of acquired knowledge is greatly improved. then aiming at the incompleteness and uncertainty problem consisting in the process of knowledge acquirement, knowledge acquirement method based on rough sets is explored to fulfill the rule extraction for intelligent diagnosis expert system, by completing missing value data and eliminating unnecessary attributes, discretization of continuous attribute, reducing redundancy, extracting rules in this thesis. finally, rough sets theory and neural network are combined to form rnn ( rough neural network ) model for acquiring knowledge, in which rough sets theory is employed to carry out some preprocessing and neural network is acted as one role of dynamic knowledge acquirement, and rnn can improve the speed and quality of knowledge acquirement greatly
   本文首先討論了影響神經網路的泛化能力的因素，提出了一種新的結構自適應神經網路 學 習演算法，在新方法中，採用了遺傳演算法對神經網路的結構參 數 （隱層節點 數 、訓練精度、初始權值）進行優化，大大提高了神經網路的泛化能力和知識動態獲取自適應能力;其次，構造集成神經網路，引入 數 據融合演算法，實現了基於集成神經網路的融合診斷，有效地提高了知識獲取的全面 性 、 完 善 性 及精度;然後，針對知識獲取過程中所存在的不確定 性 、不 完 備 性 等問題，探討了運用粗糙集理論的知識獲取方法，通過缺損 數 據補齊、連續 數 據的離散、沖突消除、冗餘信息約簡、知識規則抽取等一系列的演算法實現了智能診斷的知識規則獲取;最後，將粗糙集理論與神經網路相結合，研究了粗糙集-神經網路的知識獲取方法。

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