extract layer 中文意思是什麼
extract layer
解釋
提取層-
Extract the bursin from the bursa fabricius of chichens and ducks through the ultrafilter with loooda filter. ( the bursin of chickens - cbs. the bursin of ducks - dbs ) determine the major constitution by high - performance liquid chromatography ( hplc ) and thin - layer chromatography ( tlc ). it is proved that there is bursin ( bs ) in two extractions. caculate the quantitation of bursin in the extraction of the bursa fabricius of chickens and ducks. it can be found through tlc that the quantitation of cbs in the extraction of the bursa fabricius of chickens is 1. 436mg / ml and the quantitation of dbs in the extraction of the bursa fabricius of ducks is 4. 035mg / ml. the result obtained through hplcis that the quantitation of cbs is 1. 199mg / ml and dbs is 3. 316mg / ml
採用超濾法從正常雞、鴨法氏囊組織中提取分子量小於1000da的物質，分別以薄層層析法和高壓液相色譜法檢測其主要成分，證明兩種超濾液中均有法氏囊活性肽（囊素三肽， bursin ， bs ）的存在，分別計算雞、鴨法氏囊提取物中的囊素三肽的含量。薄層層析方法求得雞法氏囊提取物中的bs含量為1 . 436mg / ml ，鴨法氏囊提取物中的bs含量為4 . 035mg / ml ；高壓液相色譜的方法求得雞法氏囊提取物中的貼含量為1 . 199mg / ml ，鴨法氏囊提取物中bs含量為3 . 316mg / ml 。 -
However, many factors may affect eddy current testing and it is hard to classify them, and how to extract information which indicating carburized layer depth in signals is very important
但影響渦流檢測的因素很多，檢測結果不盡如人意，如何提取信號中的反映滲碳層深度的信息非常重要。 -
This paper is introduced bp neutral network character, algorithm, designing principal on its construction and the designed product. input features extracted by the way described above into a bp neutral network, and using it to classify seven type of different carburized layer depth specimen. the result is indicated, using wavelet packet method to extract features and bp neutral network to classifying, is effective and precise to classify different metal carburized layer depth. it is useful and economical
本文介紹了bp神經網路的特點、演算法和其結構的具體設計方法和設計結果，並將小波包提取的特徵值輸入到bp網路，對7種不同滲碳層深度的試件進行分類，實驗結果表明，小波特徵值提取和bp神經網路分類器相結合，可以實現對不同滲碳層深度的分類，效果良好，精度較高，有一定的實用價值。 -
Secondly, features extracting algorithm based on histogram, features extracting algorithm based on shape and features extracting algorithm based on texture are imported to solve the drawback of traditional features extracting algorithms based on structured illumination with a layer circle that make use of image information deficiently. we extract abundant features information
其次，針對目前基於結構式光源的焊點特徵提取中沒有充分利用焊點圖像信息的問題，在焊點特徵提取方面，引入了基於直方圖的焊點圖像特徵提取方法、基於形狀的焊點圖像特徵提取方法和基於紋理的焊點圖像特徵提取方法。 -
Their thin - layer chromatographic of volatile oil and extract of alcohol of crud drugs are consisten basically, but the spot of naixiong is obvious small. the coutent of their total volatile oils have been determined
奶芎、山川芎與川芎揮發油和藥材乙醇浸出物的薄層色譜顯示：各組分基本相似，但奶芎的斑點明顯較小。 -
Secondly, based on the improved algorithmic of computing the multi - fractals spectrum of seismic records, aiming at the given seismic data, we extract some character parameters of multi - fractals. following that, we select the useful parameters. finally, we fulfill the successful forecast of single geodesic and the whole area of upside layer of aotaoxi in some oil field based on oil attributes of the wells we have known, using the method of grey pattern identification, and get good comments from some experts of the same vocation
論文首先介紹了一般分形和多重分形的基本理論和演算法：其次，用作者提出的一種求地震記錄多重分形譜的改進演算法，對給定的地震道數據進行多重分形特徵參數的提取；接著優選出油氣識別用的多重分形特徵參數；最後，根據已知井位的油氣屬性，用灰色模式識別方法實現了某油fr奧陶繫上部儲層單測線及區域油氣產出前景的成功預測，得到了同行專家的好評。 -
He implements the system in three layers : first, in the semantic definition layer, it establishes the data structure construct and semantic model ; second, in the data processing layer, it integrates the financial data and the other business data into the convenience analysis form according to etl ( extract transform loading ) action ; finally, in the presentation layer it implements slice, rotation and drill down / up action. so it meets the requirement of financial analysis and financial management for enterprise
在語義定義層完成企業數據結構的搭建和語義建模工作；在數據處理層通過一系列的etl （析取、轉換、加載）操作，實現了對企業財務數據及相關業務數據的有效整合，並且最終形成便於分析的多維數據體系：進而在數據表現層實現了對目標數據的切片、旋轉、鉆取等多種手段的分析操作，以滿足企業財務分析、財務管理以及決策支持工作的需要。 -
We adopt another fault diagnosis method for the checking of polluted mycelia in the microbiological fermentation process. the method combines nonlinear principal components analysis technology with support vector machines to construct multi - layer support vector machines. the multi - layer support vector machines are able to extract main monitoring variables from many process variables, also obtain decision function with excellent generalization performance from limited samples of fault
在這里採用了另一種故障診斷方法，即把主元分析同支持向量機結合起來，這樣既可以從過多的監測變量中提取出主要的監測變量，又可以從有限的故障樣本得到具有較強推廣能力的決策函數。 -
This paper is described wavelet transform theory, mother wavelet choice, the method to filter signal by wavelet transform and the result, prospered a way to extract feature originated from wavelet theory, which using wavelet packet analyzing method to subdivide signal both in low frequency and high frequency field, and consider energy of every layer as feature in frequency field, and in conjunction with the detailed analyzing character of wavelet packet in time - frequency plane, consider several minimum or maximum points in the lowest frequency band a s features in the time field
本文介紹了小波變換的理論、基小波的選擇和利用小波變換進行信號濾波的方法和濾波處理結果，並提出了一種基於小波理論的新的特徵值提取方法。即利用小波包分析方法將信號在低頻、高頻段作進一步的細分，以各層分解的能量作為信號的頻域特徵值，以最低頻帶的極值點作為時域特徵值，這樣的特徵值選取方法較全面的反映了信號的時-頻特徵，優于傳統的傅里葉分析方法。
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