混合歸一化 的英文怎麼說

中文拼音 [húngěguīyīhuà]
混合歸一化 英文
mixture normalization
  • 混 : 混形容詞1. （渾濁） muddy; turbid2. （糊塗; 不明事理） foolish; stupid
  • 合 : 合量詞（容量單位） ge, a unit of dry measure for grain （=1 decilitre）
  • 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...
  • 混合 : （攙雜在一起） mix; blend; mingle; admix; mixture; mix up; interfusion; commixture; blending; cre...
  1. The watermark algovithm can resist the physical transfer of printing and scanning by applying techniques such as fixation normalization mutually which can secure the embedding position, chaotic encipher encryption, multipassage embedding and so on. what ’ s more, the watermark designed in this essay is binary image. it can bear a large amount of information

    本文綜合運用了歸一化相關確定嵌入位置、混沌加密、多通道嵌入等技術，使得本文所設計的水印演算法能夠抵抗印刷和掃描的物理轉換過程，同時本文所採用的水印是二值圖像，能夠承載大量的信息。
  2. This paper analyzes the factors affecting the controlling precision of sand compactibility system and sets up the dynamic model of regression coefficient between sand compactibility and water content. to prevent the insufficiency or excess of sand water content, the amount of the first addition is set as 80 % of the total water addition amount. after the first water addition, we adopt ar model to predict the stable value of sand compactibility to shorten the time mixing the sand. each time we add water, the correction coefficient is introduced to adapt to the change in the composition of sand. the experiment shows that the mathematics model not only makes the water content in sand reach the best range within shorter time, but also directs how the sand composition should be adjusted, which can better conform to the actual situation

    分析了影響型砂緊實率控制精度的因素，建立了型砂緊實率-水分回歸系數的動態模型.為防止型砂水分不足或過量，將第一次加水量設定為總加水量的80 .第一次加水后，對型砂緊實率穩定值採用ar模型進行預測，以縮短型砂混制時間.每次加水后，引入修正系數，以適應型砂組成的變化.實驗表明，該數學模型不僅使型砂水分含量在較短時間內達到最佳范圍，同時可指示對型砂組成進行調整，能較好地符合實際情況
  3. The contents of this theory are divided into six parts, they are : ( 1 ) self - organized criticality, transient chaos, the edge of chaos and weak chaos ； ( 2 ) the coupling and interactions as well as the coherence and cooperation of multicomponents ； ( 3 ) the fractal dynamics of evolutionary processes ； ( 4 ) the spatio - temporal structures of processes ； ( 5 ) the dynamics of fractal growth ； ( 6 ) the theory of finite - size scaling

    將上述命題演繹和整合成一種廣泛適用於地質系統的地球科學的復雜性理論，名之為： 「地質作用的自組織臨界過程動力學? ?地質系統在混沌邊緣分形生長」 ，並將其內容歸納成6部分： （ 1 ）自組織臨界性、瞬態混沌、混沌邊緣和弱混沌， （ 2 ）多組分的耦合與相互作用及其相干與協同， （ 3 ）演化過程的分形動力學， （ 4 ）作用的時空結構， （ 5 ）分形生長動力學， （ 6 ）有限大小標度理論。
  4. This thesis studys several distribution network reconfiguration algorithms detailedly, mostly concluding branch - exchange method, optimal flow pattern method, recursive fictitious flow method and hybrid flow pattern method. it analyzes theoretical basis of all algorithms, modified process and basic steps at length. besides it simptylniroduce other distribution reconfiguration algorithms and its development, compares the characters of all algorithms and puts forward a simplied recursive fictitious flow method, then according to a example proves the effect of some algorithms

    本論文詳細研究了多種配電網路重構演算法，主要包括支路交換法、最優流模式法、遞歸虛擬流法和混合流模式法，詳細分析了各種演算法的理論依據、改進過程和基本步驟，簡述了其它相關重構演算法的思路及其發展，比較了各種演算法的各類特性，提出了一種簡化遞歸虛擬流演算法，並通過實例證明了幾種重構演算法的有效性。
  5. The characteristics of sa and ga are analyzed intensively, which involves search mode, the mathematical analysis and experimental aspects of the underlying processes in the algorithms, convergence discussion and detailed operation procedures. then the modified versions are presented. these new algorithms are mossa ( multiple operation structure sa ), nga ( normalized ga ) and hga ( hybrid ga )

    在以上分析研究基礎上，結合水聲信號處理的特殊性，在第四章提出了多操作結構模擬退火演算法（ mossa ） ；第六章提出了改進的ga演算法，如歸一化遺傳演算法（ nga ） ，變結構遺傳演算法和混合式優化演算法等，並對其進行了基本性能分析評估。
  6. Compared with the csa ( classical sa ), fsa ( fast sa ) and lga, the new versions of the algorithms seem to gain better performance. there are several application examples investigated and presented in the dissertation. de - convolution techniques based on mossa is shown in chapter 7, underwater acoustic channel estimation and data recovery in chapter 8, and the inversion problems in underwater sound field in chapter 9. chapter 10 summarizes the investigation and gives the major conclusions

    本研究取得的主要成果有： 1 ）多操作結構模擬退火演算法（ mossa ） ； 2 ）歸一化遺傳演算法（ nga ） ； 3 ）變結構遺傳演算法和混合式優化演算法； 4 ） mossa反卷積處理技術和通道估計方法； 5 ）海底特性參數聲學反演的ga方法等。
  7. In this paper. flow properties of multistage fluidized - bed bioreactor with external circulation at a pilot scale is studied. according to characteristic analysis, the model of completely mixing reactor in series is introduced to characterize real reactor as a theoretical model. on the basis of analog computing analysis and discussion of theoretical model. by means of pulse tracer method, experiments on residence time distribution ( rtd ) have been done in different conditions including the change of tracer level, feeding flow rate and circulation flow rate. the result shows when the ratio of circulation flow rate and feeding flow rate amounts to at least 4, the flow properties of multistage fluidized - bed bioreactor with external circulation at a pilot scale is very close to the model of completely mixing reactor in series. an amendatory model has been established by the regression method

    作者首先在對反應器進行特徵分析的基礎上，建立了描述中試規模多級外循環流化床生物反應器流動特性的串級全混流模型，並對理論模型進行了模擬計算分析和討論，在此基礎上，作者分別在無循環和有循環（改變示蹤劑用量、流加流量和循環流量）的條件下，利用脈沖示蹤法對一到五級串聯外循環流化床反應器進行了停留時間分佈實驗，結果表明，在循環流量與流加流量的比值達到大於等於4時，中試規模多級外循環流化床反應器的流動特性接近串級全混流模型，通過數據回歸擬合的方法，建立了中試規模一到五級串聯外循環流化床反應器的流動模型。
  8. Hybrid machine learning ( hml ) is the latest applying in the field of intelligent information process. it combines the induced learning based - on decision - making tree with the blocking neural network. and it provides a useful intelligent knowledge - based data mining technique

    混合機器學習是在智能信息處理上的最新應用，它把以決策樹為基礎的歸納學習與模塊化的神經網路演算法結合起來，從而提供了一種在知識基礎上進行證實和確認的行之有效的智能化數據挖掘過程，其核心演算法是id3和ftart 。
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