運動集體性格 的英文怎麼說

中文拼音 [yùndòngjítǐxìnggé]
運動集體性格 英文
character of sports collective
  • 運 : Ⅰ動詞1 （物體位置不斷變化） move; revolve 2 （搬運; 運輸） carry; transport 3 （運用） use; wield...
  • 集 : gatherassemblecollect
  • 體 : 體構詞成分。
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 格 : 格象聲詞rattle; gurgle
  • 運動 : 運動[舊時用語] arrange things or get things done through pull
  • 集體 : collective; community; group; team
  1. In the 20 years of reform and opening, shandong peninsula is the typical area in china with rapid economic development. the transition of second and third industr ies has achieved periodical success, but are facing fundamental structural and in stitutional confilects at present. the paper analyses the status in quo, advantage s and disadvantages of the transition, discusses the trends and rational patterns, and put forward the countermeasures of the transition. the author attempts to us e economic functions analyzing two kinds of develop patterns so as to compare th eir advantages. the paper strengthened the importance of labor intensified indust ry which is often ignored ; find out the key point of the transition of capital in tensified industry, extraverted economy and the third industry ; integrating the development rules of industry and region, bring forward the method of “ choosing priority, half step and walk faster ” for the growth of knowledge economy which is widely noticed recently

    山東半島是改革開放20年來區域經濟發展較快、在國內具有典型意義的地區，該區二三產業的轉型已取得初步成果，但仍面臨突出的結構性和體制性矛盾.本文分析了山東半島二三產業轉型的現狀、利弊條件，探討了轉型的趨勢和適宜模式，最後提出了對策和措施.文中嘗運用柯布?道格拉斯方程進行兩種發展模式的對比分析以辨別利弊，強調了常為人忽視的勞動密集型產業的作用，論述了發展資本密集型產業、外向型經濟及第三產業的重點，結合產業和區域發展規律，對近來廣受關注的知識經濟的發展提出了「選擇重點、小步快走」的觀點
  2. At first, this thesis analyzed some essential elements about the system of personal houe loan and make the compare to chinese and foreign system, and established the system of personal credit evaluate ; the second, the thesis discusses the investment technique and strategy of national debt in the provident fund, and established the model about how to invest the national debt ; the third, the thesis build the forecast model about fund collecting and drawing, and make use of the combination invest theories to build model of individual loan and national debt ; at last, the thesis analyses the risk ' s inside reason of house funds with the risk type, and to give out the related suggestion to funds risk. mechanism. the thesis research show me how to make use of that some models and methods in the process of haf management and make me deeply understand the house funds

    本文首先分析了個人住房貸款制度基本要素，即貸款期限、貸款利率與抵押物價值的比例、政府在個人住房貸款市場中的作用、貸款違約情況下的處置措施、個人住房貸款的流動性問題，並對中外製度作了比較，建立了個人信用評分評級體系和信用評估模型，並以重慶市住房公積金為研究對象做出了住房資金個貸風險評估的實證研究；其次，分析了影響國債價格走勢的因素，討論了公積金國債的投資技巧和策略，並建立了基於理論的國債投資組合模型；接下來，根據資產負債管理理論中的資金總庫法和資金分配法分析了公積金總體資金項目的來源和運用，並就此作了總量平衡模型，對住房公積金季度累計歸集金額作了直線回歸和季節趨勢比率預測，運用投資組合理論建立了公積金個人貸款和國債投資組合的最優化模型；最後，探析了住房資金風險的內在原因和風險類型，從資金籌集風險、信貸回歸風險、保險機制、法律風險和政策風險五個方面為住房資金風險防範機制建設提出了相關建議。
  3. In this paper, a cfd simulation model for steady flow in the honeycomb wall - flow ceramic monolith filter element of a diesel particulate trap is established and solved with discretization and segregated solver

    摘要研究的柴油機微粒捕集器採用目前應用最為廣泛的壁流式蜂窩陶瓷作為過濾體，根據其結構對稱性和內部流動數學模型，建立了穩態層流的過濾體內部流動cfd模擬模型，並運用離散格式分離求解器進行求解。
  4. Trend prediction and fault diagnosis tech., etc. the information intelligent processing technology facing the application is presented as an emphasis. after introducing the development situation and the whole pattern on related fields, this paper describes several algorithm applied in the simulation experiment, including direct multi - steps nonlinear autoregressive - moving average ( narma ) prediction model based on diagonal recurrent neural networks and fuzzy neural networks model based on generalized probability sum ( gps ) and generalized probability product ( gpp ), and lists the algorithm steps facing the application

    作為重點，本文辟用了較大的篇幅討論面向應用（主要是趨勢預測與故障診斷）的集成智能信息處理技術，在介紹相關領域的發展情況和總體格局之後，重點闡述了幾種基於神經網路的智能演算法，包括基於對角遞歸神經網路（ drnn ）的直接多步非線性自回歸滑動平均（ narma ）預測模型，以及基於廣義概率和（ gps ）與廣義概率積（ gpp ）兩種運算元的模糊神經網路模型，給出了它們的詳細演算法及面向應用的運算步驟。
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