粗糙度指數 的英文怎麼說
中文拼音 [cūcāodùzhǐshǔ]
粗糙度指數
英文
roughness index-
This paper recurred to the basic theory of rough set of data mining and under the direction of the frame of intelligent decision, the main theories include i ) the different methods of data mining on the base of rough set are used to deal with typical decision system namely consistent decision system and inconsistent decision system in order to carry through data reduction and rule distilment ; ii ) in the environment of dynamic increment database, the methods of data reduction to deal with the original data and increment data are discussed in the consistent and inconsistent decision system ; iii ) the method of data mining of rough set is analysized to treat with the attributes with priority ; iv ) on the base of basic rough set theory, the data analysis methods of amalgamation of rough set theory ; v ) and also the pre - disposal method to database is analysize
本文從系統工程進行決策分析的角度出發，藉助數據挖掘技術中粗糙集的基本理論，在智能決策框架的指導下，研究了基於數據挖掘的智能決策理論及方法。主要理論包括：如何利用粗糙集對典型的決策系統即相容性決策系統和不相容性決策系統運用不同的數據挖掘方法進行有效的數據約減和規則提取；在增量動態的數據庫環境下討論了在典型決策系統中對原始數據和增量數據進行數據約減的方法；分析了帶有優先權屬性的粗糙集數據挖掘方法；以基本粗糙集為基礎探討了粗糙集擴展模型的數據分析方法；研究了粗糙集數據預處理方法。Furthermore, the dq value ranges of profile multifarctal spectra in different landform types and in different directions of the same sections perform different properties and anisotrpies. it can be concluded that the landscape fractal properties depends closely on the int ensity, manner and inhomogenity of exogenic and inogenic processess, and with the properties, we can study quantatively the dynamic geomorphic process. by using the same methods just above, local fractal dimensions d, crossover length tc and the multifractal spectra dq - q of two large - scale landform profiles ( across and along tianshan mountain ranges respectively ) are calculated. the results show that in the studied scaling range the two profiles perform different scaling properties, and both of them can be divided to three evident different linear scaling subsections
不同類型地貌區二維地貌表面也表現出多度域分形特徵，而且隨著觀測尺度的增加，每個區間的分維值均表現為依次減小，表明外營力作用的影響逐漸被內營力作用所取代：不同類型地貌區在相應區間的分維值表現為高山區中低山區盆地區，體現了不同類型地貌表面粗糙性或復雜性的差異，因此分維值大小可作為地貌表面外營力侵蝕作用強度的重要指標：利用標度區的間斷點和各種地貌類型表面分維值或宏觀效應趨於一致，提出5 - 6km左右可作為地貌的宏觀臨界點，並且與利用地貌剖線研究所得到的5km這一數值是基本吻合的。In the current criteria, the principal parameters are given from linear elasticity analysis. the effects of cumulation in elasto - plastic working stage is hardly analysis. the stiffness calculation of current eccentric compression member is not specialy stipulated, with the result that the calculation of internal forces are crude
指出《規范》公式中的主要參數均基於線性（彈性工作階段）分析，對結構實際工作階段（包括彈塑性、塑性工作階段）由於損傷累積而引起結構性能的變化涉及較少，對常見的偏壓構件的剛度計算也未作專門規定，這使得以往內力計算較為粗糙。Standard practice for computing international roughness index of roads from longitudinal profile measurements
從縱剖面測量計算道路國際粗糙度指數的標準操作規程According to the the regression analysis on the bloting and shotcreting roadways of henan pingmei group, the regression equation on the degree that absolute grade and area of roadway influence coefficient of frictional resistance is built in the paper. the notable character test of the regression equation is completed. at last, the degree that absolute grade and area of roadway influence coefficient of frictional resistance is discussed and summed up. the practical and guiding sense in choosing coefficient of frictional resistance of congeneric roadways is given in the paper
通過對平煤集團大量的錨噴巷道的回歸分析，建立了巷道壁面絕對粗糙度和巷道斷面積對摩擦阻力系數影響程度的回歸方程，並對回歸方程作了顯著性檢驗，最後對巷道粗糙程度和斷面積對錨噴巷道摩擦阻力系數的影響程度進行了討論和總結，對同類巷道摩擦阻力系數的選取具有實踐指導意義。Then three models are developed, which respectively are modified physical model, a model for very rough surface and exponent model
在此基礎上發展了修正粗糙表面模型，大粗糙度表面模型和指數分佈模型。Measurement and characterization of surface texture is an important aspect of precision metrology. historically this has involved partitioning a profile into different wavelength regimes referred to as roughness, waviness and form followed by numerical quantization. parameters computed are then inspected for tolerance compliance to ensure a part performs its intended function. this approach is satisfactory when the specification has been carefully determined and the process is stable. however, when the manufacturing process is under development or when instability or modifications to the process invalidate specifications, there is a need to study surface finish parameters in relation to functional performance or process measures. in this context, the problem of surface texture classification and recognition are discussed. advanced techniques developed for this purpose along with applications are presented. also, the techniques discussed here will be useful across large bandwidth, from the characterization of nano scale to traditional micro scale surfaces
表面結構的測量與特徵描述是精密計量技術的一個重要方面，傳統上包括將輪廓情況根據不同的波長范圍劃分為粗糙度、波紋度和形狀及后續的數字量化.按算得的參數檢查它是否為公差允許，以保證零件執行其指定的功能.當技術特性已經經過仔細確定，並且其過程穩定時，該方法是令人滿意的;但是，當製造過程正在進行中或過程的不穩定、過程變化使技術特性失效時，就需要研究和功能表現及過程評定相關的表面參數.討論了表面結構的分類與識別問題.同時闡述了為此目的而開發的先進技術及其應用.所研究的技術對從納米尺度到傳統的微米尺度的較大帶寬范圍內的表面特徵描述都是有效的This thesis is not only discussing and analyzing mathematically the working principle of y type reflection fiber optic detector, but also deducing the fundamental calculating formula of reflection light intensity, and drawing the displacement - responding sensitivity curve. this thesis also points out the three characteristics curves corresponding to the detections in tiny displacement, biggish displacement, and superficial roughness. these are very creative and completely valuable in practicality
按題目要求，論文對y型反射式光纖探頭的工作原理進行了初步探討和數學分析，推導出反射光的基本計算公式，繪出了位移- -響應靈敏度曲線，並指出y型反射式光纖探頭進行微小位移、較大位移、表面粗糙度測試時對應的三個特徵曲線段，具有創新之處和實用價值。The paper discusses the method of design parameter ' s predigestion guided by rough sets and apply concept climb based on attribute to design database, thus we can obtain relation rules between design parameter and design scheme from all kinds of abstract hierarchy and different point of view
本文根據粗糙集理論中對知識進行分類的特點，將粗糙集理論應用到數據挖掘中來指導機械產品的概念設計，論述了粗糙集理論指導下的產品設計參數簡化的方法。並且將基於屬性的概念爬升技術應用到設計知識數據庫中，可以獲得不同抽象層次、不同角度描述的設計參數與設計方案之間的關系規則。Firstly, the original monitoring data are discretized to a decision making table, then the attributions are reduced from the decision making table so as to eliminate the factors having no or less effect on the effect - quantity, and, lastly, the proportion of affecting factors on the effect - quantity is calculated with rough membership
首先對原始監測信息進行數據離散化得到決策表，然後對決策表進行屬性約簡以去除影響極小的影響因素，最後用粗糙隸屬度分析各主要因素的重要性指標及其在效應量中所佔的分量比例。The extracted values of 3 surface parameters i. e., the roughness w, lateral correlation length, and roughness exponent a are in good accordance with the set values
所得到三個表面參量粗糙度w ，橫向相關長度和粗糙度指數的值與所設定的值符合得較好。分享友人