artificial average 中文意思是什麼

artificial average 解釋
假定平均數
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • average : n 1 平均，平均數。2 一般水平，平均標準。3 【商業】海損；海損費用；（給領航的）報酬。adj 1 平均的...
  1. Colour matching ; lighting conditions for average artificial daylight

    配色.平均人造日光的照明條件
  2. By setting up dummy variable regression equation, the effect of non - economy factors is analyzed quantitatively. 3. using artificial neural network to map the relationship between the household appliance percentage and average residential electricity demand, this paper presents an artificial intelligent method to forecast residential electricity demand

    建立帶有虛擬變量的多元回歸方程，同時考慮了影響居民電力需求的經濟因素和非經濟因素，定量描述了非經濟因素（例如氣候、生活習慣、消費習慣）對居民用電的影響。
  3. The sowing and seedling raising experiments of castanopsis hystrix seed with different artificial treatments showed 1 - year - old c. hystrix seedling average height and average dbh with the treatments of hastening germination and cutting root were 22. 0 % and 117. 0 % higher than those without the root cutting treatment, respectively, the individual - tree lateral root number increased by 127. 71 %, the afforested survival rate increased by 23. 0 %

    摘要對紅錐種子採用不同人工處理的播種育苗試驗表明：紅錐種子經催芽斷根育苗處理后，其1年生苗木平均高和平均地徑分別比無斷根處理的高22 . 0 %和117 . 0 %單株側根數增加127 . 71 % ，造林成活率提高23 . 0 % 。
  4. Aiming at the ecological environmental deterioration of bashang, from 2002years to3 ~ 5months of 2003 years. sand - transporting quantity of land cover types were on - the - spot moinitoring in gale seaon, comparing the productivity of the main crops. improving environment and developing economy are compositively considered for applying returning cultivated to woodland and grassland to supply the base of theory and technology. the main results as following : 1 observing the sand transporting quantity of artificial grassland, stubble land and cultivate land. indicates that when wind speed is higher ( 8. 0m / s ), the sand transporting quantity of artificial grassland of 200cm reduces 35. 5 % in average more than that of cultivate land, 34. 5 % sand - transporting quantity than that of stubble land. no distinct difference between stubble land and cultivate land. and when wind speed is lower ( = 5. 0m / s ), the sand - transporting quantity of coverage is no distinct difference according to the analysis of variance

    從改善環境和發展經濟兩方面綜合考慮，為實施壩上地區「一退雙還」提供了理論與技術依據。主要研究結果如下： 1對人工草地、作物留茬地及耕翻地的輸沙量觀測表明：勁風（ 8 . 0m s ）下，人工草地比對照耕翻地輸沙量在200cm高度內平均降低了35 . 5 ，比作物留茬地平均降低了34 . 5 ；作物留茬地輸沙量與耕翻地差異不顯著；微風（ 5 . 0m s ）下，不同地表覆被類型對輸沙量的影響差異不顯著。
  5. The actual reproduction and artificial restoration density were the biggest with the treatment of irrigation ? soil preparation + natural regeneration, and the average numerical value was 13. 04 clumpes / m ^ 2 ranging from 3 clumpes / m ^ 2 to 28 clumpes / m ^ 2. the others were as follows : 1. 66 clumpes / m ^ 2 occurred in the treatment of unirrigation + soil preparation + artificial regeneration, ranging from 1 clumpe / m ^ 2 to 20 clumpes / m ^ 2 1. 11 clumpes / m ^ 2 occurred in the treatment of unirrigation + soil preparation + natural regeneration, ranging from 0. 5 clumpe / m ^ 2 to 17 clumpes / m ^ 2 0. 25 5 clumpe / m ^ 2 occurred in the treatment of unirrigation + break ground + natural regeneration, ranging from 0. 1 clumpe / m ^ 2 to 3. 0 clumpes / m ^ 2, and 0. 012 clumpe / m ^ 2 occurred in the treatment without disturbance

    以更新密度作為參數，其數值依次為：灌溉+整地十自然更新最大，平均為13 . 04叢/平方公尺，變化在3 28叢平方公尺之間；無灌溉+整地十人工種植恢復平均為1 . 66叢平方公尺，變化在1 20叢平方公尺之間；無灌溉十整地+自然更新恢復平均為1 . 11叢平方公尺，變化在0 . 5 17叢平方公尺之間；無灌溉+破土+自然更新平均為0 . 255叢平方公尺，變化在0 . 1 3 . 0叢平方公尺之間；無干擾自然更新平均為0 . 012叢平方公尺。
  6. Making use of many layers composite technique and heat press technique to make artificial skull, through a series of performance testes ( including elongate performance, compress performance, curve performance, concussion performance, lay cut performance, concussion cut performance ), making use of drainage method to calculate its average density, which is 1. 25kg / m3, and combustion method to calculate its content of macromolecule, which is 57. 7 %

    利用多層復合技術和模壓技術制備來的人工顱骨復合材料，通過對其一系列性能測試（包括拉伸性能、壓縮性能、彎曲性能、沖擊韌性、層間剪切強度和沖擊剪切強度等） ，證明了該復合材料具有良好的物理機械性能。採用排水法計算復合材料的平均密度為1 . 25kg m ~ 3 ，採用灼燒法計算復合材料的含膠量為57 . 7 ，證明該復合材料比強度較高。
  7. Based on the calculation methods of nominal water - cement ratio of mortar and average paste thickness of standard sand provided by authors, the nonlinear relation between fluidity of mortar and nominal water - cement ratio of mortar, average paste thickness of standard sand, fly ash - binder ratio was established by using artificial neural network ( ann )

    摘要在給出水泥膠砂名義水灰比和標準砂平均漿體厚度計算方法的基礎上，採用人工神經網路方法，建立了水泥膠砂流動度與水泥膠砂名義水灰比、標準砂平均漿體厚度、粉煤灰與膠凝材料用量比之間的非線性映射關系。
  8. Comparing with the simulated width of the single crystal opal, we find that the artificial opals possess poly - crystallize structure and the average single crystal size is around 103um3

    與理論計算的單晶光子晶體的透射譜比較，得出了我們製作的opal的單疇在10 ~ 3 m ~ 3 。
  9. Infiltration of atmosphetic water and river leakage are the major supply source of krast water in jinan spring field, while artificial water - taking and spring discharge are its major discharge forms. the karst water flows from south to north in the whole and the average recharge capacity is 55 x 104m3 / d

    巖溶水補給來源主要為大氣降水滲入和河流滲漏，排泄方式主要為人工開采和泉水排泄，總體向北徑流，泉域多年平均補給量為55萬m ~ 3 d 。
  10. Three characteristic features, such as average velocity of sound, deviation coefficient of sound velocity, and deviation coefficient of amplitude are extracted from four kinds of testing data which are sound velocity, amplitude, frequency and waveform in this paper. fuzzy analysis and artificial neural network are combined to form an intelligent system with similar functions to human brain to classify grc, aerated concrete, hollow brick, solid brick and concrete block. the accuracy of this system is up to 95 % in field tests

    由超聲脈沖法獲得4種檢測信息聲速、波幅、頻率和波形，從中提取3個特徵量：平均聲速、聲速的離差系數和波幅的離差系數，利用模糊分析方法和人工神經網路相結合對grc 、加氣混凝土、空心磚、實心磚、砌塊5種墻體材料進行種類識別，形成一個智能化的、具有類似人腦功能的系統.經現場實測證明，判別的準確率達95 %以上。
  11. In the process of comparison, it is found that the new vector used by this paper is suited to be taken as statistic feature of sar area objects. artificial neural network ( ann ) is always used in image classing. this thesis used bp network, rbf network and sofm network to analyze sar area objects, with gray level, average and wavelet analysis based features as the inputs

    人工神經網路是模式識別的重要工具，本文分別採用bp神經網路、徑向基函數（ rbf ）神經網路、自組織特徵映射神經網路對sar圖像面目標進行了分析，選用灰度值、均值、小波紋理特徵等不同的特徵作為輸入矢量，得到了高的分類精度。
分享友人
分享到 Line

分享到臉書