linear defects 中文意思是什麼
linear defects
解釋
位錯-
The research works finished in this paper are listed below : 1. solving the problem in testing of cylinder vessels that the sensors disposition is very rigorous, carrying out study of freewill triangle network orientation and linear orientation, bringing forward the discriminance which distinguish the validity of orientation array using character string method the first time, at the same time, solving the problems that judgement of orientation array, elimination of camouflage location, avoidance of repeat location, etc. 1 '. carry ing out the study of the orientation of defects in stand lank floor with the method of freewill planar triangle orientation, advancing bran - new discriminance on the validity of orientation arrays, orientation points, and the disposing means of the acoustic sources near sensors and those near common border
本文進行的主要研究工作有： 1解決柱式容器檢測中傳感器排布要求較嚴格的問題，開展任意三角形網路排布檢測技術與線定位技術研究，首次提出了利用字元串格式判斷線定位陣列有效性的判別方法，並解決了任意三角形定位中存在的定位陣列判斷，偽定位的剔除，重復定位的避免等一系列問題； 2利用平面任意三角形定位方法開展常壓立式儲罐罐底缺陷定位技術研究，提出了全新的定位陣列有效性判斷、定位點的有效性判斷方法；以及頂點聲源和邊界聲源的處理辦法。 -
The magnetic leakage field distribution above linear defects of a tube sample under the geomagnetic field was modeled according to magnetic dipole theory
摘要利用磁偶極子理論，建立穩恆微弱地磁場作用下管類試件線狀缺陷段產生的漏磁場模型。 -
The subsystem of the casting foresee and analysis established the mathematical model of the quantitative linear regression analysis for the compacted graphite cast iron defects. it provided guarantee for predication and control of casting defective index within permissive ranges
鑄件質量分析及預測子系統建立了蠕墨鑄鐵件缺陷定量分析的線性回歸分析數學模型，為預測及控制缺陷廢品率在規定范圍內提供保證。 -
Bp ( back propagation ) algorithm is the most popular training algorithm in applications for its non - linear mapping approach capability and robustness. however, it has some defects, such as converging slowly and immersing in local vibration frequently
Bp演算法以其良好的非線性映射逼近能力和泛化能力以及易實現性成為人工神經網路應用最廣泛的訓練演算法，但是bp演算法也有其明顯的缺陷，即訓練速度慢、容易陷入局部極值等。 -
This dissertation is based on the introduction of the power indstry of the history of the nantong city and is according to the development and change of the power industry from 1991 to 2000land also to the reality of the working experience of the administration of the power industry of myself, it make great efforts to analysize anc research the long term and middle - short term forecast of the demand of the nantong city ( urban, tongzhou county, rugao county ) in the future, and is based on the analysis of its character, it draws a conclusion of making value, and uses the thinking of the methods of " the professional danamics and linear tropic ", and according to the answer of the analysis, it uses the ahp method to compare the economics of the construction of the power industry of different areas, and based on the fundamental conclusion, it makes out the methods and countermeasure of the power construction of different areas, and gets a good effect of forecast. so, it will be great instructive and helpful to the forecast and administration of the power industry in the reality, and to fill in the defects of " paying too more attention to the analysis of the character rather than the value, and mainly depending on the experience to make decisions "
本文在介紹南通市電力工業發展歷史狀況的基礎上，從南通市91年2001年電力工業發展變化情況和歷年本人從事的電力管理工作的實際出發，著重分析和研究了南通市（市區、通州市、如皋市）未來長期和中短期的電力需求預測，在對其進行定性分析的基礎上，提出了量化的設想，並將系統動力學和多元回歸的思想分別應用於電力需求的長期和中短期預測，針對分析的結果，利用層次分析法比較了電力建設不同措施的經濟性，在得出初步結論的基礎上，提出了分地區電力建設的對策與措施，取得了較好的預測效果，對實際的電力預測和管理工作有很大的指導意義和幫助作用，從而彌補了實際工作中「注重定性、忽視定量，主要依靠經驗判斷」的不足，對促進今後南通市電力管理工作有很大的幫助。 -
O - line model is useful for explanation of interface which contains a set of periodic parallel linear defects
O線模型可以解釋很多含有一套平行排列的周期性位錯的界面結構。 -
Two common defects are founded in bss algorithms based on independent component analysis ( ica ) : the selection of none - linear function ( nlf ) in ica depends on the kurtosis of original signals, which degrades the performance of separation seriously when the observed signals are the mixture of super - gaussian and sub - gaussian signals
2 .對一些現在流行的基於獨立分量分析的盲分離演算法進行深入研究后，發現其存在以下兩點共同缺陷:由於演算法中非線性函數的選取依賴于源信號的峭度性質，當觀測信號為超高斯和亞高斯混合信號時，分離演算法性能急劇下降。
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