遞歸運動 的英文怎麼說

中文拼音 [dìguīyùndòng]
遞歸運動 英文
recurrent motion
  • 遞 : Ⅰ動詞（傳送;傳遞） hand over; pass; give Ⅱ副詞（順著次序） in the proper order; successively
  • 歸 : Ⅰ動詞1 （返回） return; go back to 2 （還給; 歸還） return sth to; give back to 3 （趨向或集中於...
  • 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...
  • 運動 : 運動[舊時用語] arrange things or get things done through pull
  1. The thesis summarizes the basic theories of price discrimination, expatiated on the multi - class differential pricing method and dynamic differential pricing theory ; concludes the factors that have impacts on tickets - price, analyses and classfies the factors ; brings forward a canonical method of market segmentation, introduces the process of market segmentation based on the model of gray relative level, discusses the idiographic measure of ticket - price control ; improves the academic achievements of former scholars, puts forward a model of multi - class dynamic differential pricing for the air passenger transport, which is based on the maximum revenue for the airline industry, and gives a approximate arithmetic of the model, then showes the application of the model and its feasibility on increasing airline industry ’ s revenue by 25 models

    在對民航定價的國內外研究現狀進行綜述的基礎上，從經濟學角度介紹差別定價的基本理論，闡述民航客運的多等級差別定價理論和動態差別定價理論;對民航票價的影響因素進行分類說明;作為多等級定價的基礎，提出市場細分的標準和方法，用灰色關聯度模型解決航空旅客市場細分問題，並提出票價控制的具體措施;引入一種旅客到達頻率預測的統計方法，以航空公司收益最大化為目標，建立基於多等級定價基礎上的動態差別定價模型，即多等級動態差別定價模型，給出模型的遞歸演算法，通過對動態差別定價模型的運行結果進行分析，建立模型的一種近似模型，並且用25個簡單算例說明模型的用法以及在提高航空公司收益方面的可行性。
  2. First, it delves into the key technique of eis ? image registration, and presents an effective registration algorithm which is from coarse toprecise and form local to global. second, it applies recursive kalman filtering technique inmotion filtering of registration parameters and makes motion compensation for practical image. finally, it takes advantage of mosaicking to reconstruct undefined regions to avoid theubiquitous information missing and image degradation. this algorithm has high precision as wellas high speed

    首先，對電子穩像中關鍵環節? ?圖像配準技術進行了深入研究，給出一種由粗到精、由局部到全局的高效配準演算法;接著，採用了遞歸kalman濾波技術對配準參數進行運動濾波並對實際圖像進行運動補償;最後，利用了圖像拼接技術進行「無定義區」重建，避免了普遍存在的信息丟失和圖像降質問題。
  3. Considering the fuzziness of some boundary conditions enviroment media, and especially some loads in the engineering structure analysis, we go further into the computation based on the dynamic problem of fuzzy finite element ( ffe ), study further and systematically the analysis and solution. the principle of fuzzy minimum potential energy is established, and the balance equation of fuzzy finite element is reasoned by making fuzzy variation. at the same time, the dynamic balance equation of stochastic by making stochastic variation ， also the fuzzy stochastic dynamic balance equation is deduced. based the theory that the degree of the fuzziness and probability can be measured, in the other word, by using the concept of fuzzy entropy and entropy, pure fuzzy dynamic structure is given through transforming the probability to fuzziness. for the fuzzy parameter can be regarded as a fuzzy vector with dimensions, the structure ' s eigenvalue, by the theory of small parameter

    建立了模糊瞬時最小勢能原理，運用模糊變分原理導出了模糊有限元動力平衡方程；同時，利用隨機變分原理導出了動力問題的隨機有限元方程，同時得到了模糊隨機動力問題的有限元平衡方程。根據模糊度和概率度可以度量的原理，即利用模糊熵和概率熵的概念，把結構的隨機性等效地轉化為結構的模糊性，得到純粹模糊性的動力結構。把結構所具有的模糊參數看作一個維的模糊向量，利用小參數攝動原理，把結構的特徵值，特徵向量和位移都在模糊向量的均值處進行泰勒展開，得到一組遞歸方程，即可以求得結構的模糊特徵值，特徵向量和模糊位移。
  4. In order to track multi mouse targets at the same time, this paper first analyzed the dynamic model of mouse motion, and then discussed the dynamic change regularities of position as well as shape. next, a 2nd auto regressive process ( arp ) is proposed to describe the position transitions of mouse targets and finally constrained brown motion is utilized to describe the dynamic change of mouse shapes

    為實現同時對多個鼠類目標的跟蹤，本文首先研究了鼠類運動的動態模型，分別討論了位置和形狀動態變化規律，提出了用二階自回歸過程來描述鼠類目標的位置傳遞，用約束布朗運動來描述老鼠形狀的動態變化。
  5. 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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