back-extraction 中文意思是什麼

back-extraction 解釋
反提取
  • back : n 1 背，背部；背脊；背面，反面；背後，後部，後面，裏面。2 （指）甲；（刀）背；（手）背；（書）背...
  • extraction : n. 1. 抽出，拔出。2. 【化學】提取（法）；萃取（法）；回收物，提出物；精煉。3. 精選，摘要。4. 血統，家世，出身。5. 【數學】開方，求根。
  1. Back extraction by hno3 - hf and back extraction by concentrated hnch after lower the concentration of organic phase are studied, the method of back extration by hnorhf can not be used to icp - ms, because some zirconium is hydrolysis when hf is removed by heat. however, the method of back extraction by concentrated nitric acid after lower the concentration of organic phase can be used to icp - ms, the recovery is 93. 2 %, rsd % is 5. 24 %, the decontamination factor of uranium is 3. 2xl04, the detection limit of zirconium is 0. 04ng / ml. the method of tta extracting trace zirconium in uranium is firstly used to icp - ms, the result is satisfied, it can be used to determine zirconium in uranic production quickly and veraciously

    本文通過研究hno _ 3 - hf反萃和稀釋有機相後用濃hno _ 3反萃這兩種分離方法，認為hno _ 3 - hf反萃由於在加熱去除hf時酸度不易控制，導致鋯的部分水解，因而此方法不宜用於icp - ms中，然而稀釋有機相後用濃hno _ 3反萃法用於icp - ms測量中，全程回收率為93 . 2 ，相對標準偏差為5 . 24 ，鈾的一次去污因子為3 . 2 10 ~ 4 ，鋯的測定下限為0 . 04ng / ml ，本文首次將tta萃取分離鈾中鋯用於icp - ms測量中，結果令人滿意，此方法適用於快速、準確測量鈾產品中微量鋯。
  2. " we have flamini ( hamstring ), senderos ( knee ) and reyes, with the extraction of his wisdom teeth. but they could be back on thursday

    「其他的傷員還有弗拉米尼、森德羅斯和雷耶斯，不過他們都很快會在周四恢復。
  3. Data extraction methodology of molten pool front - side geometrical parameters and back - bead width

    焊接熔池正面幾何參數和背面熔寬的數據提取方法
  4. In the paper, based on the existing literature research foundation an analog circuit catastrophic fault location approach by using feedforward networks with back ? propagation learning is realized. by this approach, the simulation require ments before test are reduced because fewer training samples are needed, and the fault location process is fast. this method is very efficient in location of single hard fault wit component tolerances. the measureme nt space feature and the general characterization concept of single and double soft fault in linear circuits are presented. according to this concept, a linear circuits soft fault location approach using subhidden layer bpnn is established with element tolerance, and it is shown that this approach is successful in fault location. a double fault feature extraction.,

    本文在現有文獻理論研究的基礎上實現了採用bp演算法前向多層神經網路對直流測試下模擬電路硬故障的診斷方法。其特點是採用少量典型特徵樣本作為bp網路的訓練樣本，獲得訓練樣本的代價小，減少了測前工作量，同時診斷速度快，在考慮元件容差時仍有好的診斷效果。文中介紹了線性電路單一軟故障和雙軟故障所具有的電壓增量空間特性和統一特徵概念。
  5. Now, after the lapse of a year, we have come back having found that all the forms of segregation of government employes of african extraction are still practiced in the treasury and postoffice department buildings, and to a certain extent have spread into other government buildings

    可現在，一年過后，我們又找上門來，原因是我們發現，對非洲血統的政府雇員實行種種種族隔離不僅存在於財政部和郵政部，而且在某種程度上已經蔓延到其它政府部門。
  6. We ' ve just completed a round of testing our extraction equipment on the stardust interstellar flight spare tray ( a back - up tray manufactured for the stardust mission just in case something went wrong with the first tray before launch )

    我們剛在飛行備用件（一個備份的盤如果前一個在發射前出了問題就用它替換）上完成一輪對我們的提取設備的測試。
  7. Feature extraction through 2 - order polynomial fit of the descending part of the response curve made possible a timesaving measurement process. the performances of two pattern recognition algorithms, namely principal component analysis ( pca ) and linear discriminant analysis ( lda ) in practical problems were discussed. artificial neural network ( ann ) was utilized with back - propagation algorithm ( bpa ), and the combination of pca / lda with ann improved the identification performance of the system

    基於對模式識別系統的深入研究，提出了從響應階段數據提取特徵的方法，節省了測試所需時間；比較了主成分分析法（ principalcomponentanalysis ， pca ）與線性判別式法（ lineardiscriminantanalysis ， lda ）兩種模式識別方法在實際應用中的不同結果，分析了原因；設計了採用誤差反傳演算法back - propagationalgorithm ， bpa ）的前向人工神經網路（ artificialneuralnetwork ， ann ） ，並指出其應用中存在的問題，提出了改進建議；利用pca lda與ann相結合的方法改善了系統的識別性能。
  8. The main point of this project is to research the theories and applications of artificial neural network ( ann ) which is suitable for large scale science data mining. especially, our research focus include : dimension reduction techniques based on independent component analysis ( ica ) and wavelet - based denoising or compressing techniques for feature extraction in scientific datasets which have complex features ; classify and clustering techniques of ann combination with data grid, back - propagation neural network, self - growing multilevel self - organizing map for large scale knowledge founding in sdm

    特別深入研究以獨立分量分析（ ica ）為主的降維技術、以小波神經網路為主的壓縮降噪技術解決科學數據特徵復雜不便識別的問題;以同網格結合的神經網路、誤差反向傳播的bp神經網路、自適應多級自組織特徵映像網路為主的分類、聚類技術解決科學數據挖掘中的大規模知識發現問題。
  9. Abstract : it is capable for stabitizing operating data, raising generating capacity, and saving energy that a low pressure and condensing turbine - set was installed on the exhaust pipe of turbine - set of back - pressure or extraction and back - pressure, and was run in parallel with a little heat load

    文摘:在背壓或抽汽背壓式汽輪機排汽處增裝低壓凝汽式機組，與少量熱負荷並列運行，可穩定運行參數、提高發電量、節能降耗。
  10. Doctor : i can begin to make your new teeth after the gums have healed from the extraction of the back teeth

    醫生：您拔除后牙后，傷口愈合一個月，我開始製作假牙。
  11. The importance of rule extraction from trained ann is that of using the ann for the " learning " of impliedly rules within swatch knowledge, and then expressing with rules. the goal in rule refinement is to use combination of ann learning and rule extraction techniques to produce a " better " set of symbolic - rules which can then be applied back in the original problem domain. in the rule refinement process, the initial rule base is inserted into an ann by programming some of the

    這樣既克服了單一專家系統知識獲取的「瓶頸」 ，又避免了神經網路的「黑箱問題」 ;對于知識求精，先把已經得到的規則轉換為網路拓撲結構，利用神經網路對知識進行求精，這樣可解決初始知識庫存在的知識不完全、知識之間不一致、有的知識不正確等問題，改善管理決策的智能水平和增強了系統的運行效能。
  12. Realizing the application of the empirical mode decomposition in the instantaneous characters extraction of the non - linear and non - stationary signals. in the meanwhile, it has proved that it is feasible to realize the similar pattern matching of the stocks " forecasting, if the empirical mode decomposition and the forward propagation learning algorithm of multi layered neural networks with feed back connections are related

    實現了經驗模態分解方法在非線性和非穩態信號瞬時特徵提取中的應用；同時利用實驗數據證明了經驗模態分解方法與多層反饋神經網路fp演算法相結合，來完成股票數據預測中的相似模式匹配的可行性。
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