預設向量值 的英文怎麼說

中文拼音 [shèxiàngliángzhí]
預設向量值 英文
default vector value
  • : Ⅰ副詞(預先; 事先) in advance; beforehand Ⅱ動詞(參與) take part in
  • : Ⅰ動詞1 (設立; 布置) set up; establish; found 2 (籌劃) work out : 設計陷害 plot a frame up; fr...
  • : 量動1. (度量) measure 2. (估量) estimate; size up
  • 預設 : default material and textures
  1. The first one : fitting together ultimate values of every dimensions in one dimension - chain one by one, educing many equations by itself, calculating results, and comparing these results of close dimension to find maximal and minimal values. the second one : projecting all dimensions on two preestablished axis, then providing the solutions to analyze whether every projected dimensions is increscent or decreasing, and synthesize the effect of every projected dimensions to close dimension, educing many equations by itself, at last calculating the result of close dimension. the third one : according to monte carlo analysis, getting every dimensions " values from every dimensions " tolerances at random time after time, simulating the actual circumstances of mass production using these dimensions, and calculating reasonable results of close dimension economically

    鑒于這類系統在各大中小型企業的廣泛應用與相對滯后的研究水平,本文提出了三種新的能切實地解決目前尺寸鏈計算機輔助分析解算中存在的各種難題的計方案,第一種方案將尺寸鏈中各組成環能取的極組合起來,自動列方程組,求解每個組合情況下的封閉環尺寸,最後比較這些結果,得出封閉環的最大最小;第二種方案將尺寸鏈各組成環定好的兩個方投影,之後再分析各尺寸環投影分的增減性,並且提供了組成環兩個方上的投影分增減性不一的復雜情況下的解決辦法,綜合組成環各投影分的增減性,然後自動列出方程組,最後根據各組成環的投影分以及所列的方程組來確定尺寸鏈封閉環的尺寸;第三種方案以蒙特卡洛法為原理,在尺寸鏈各組成環的取范圍內使用計算機產生大隨機數,模擬實際大批生產中的零件尺寸分佈情況,以更經濟更合理的方式分析、計算封閉環尺寸。
  2. ( 1 ) the posterior distribution of the coefficient matrix, the precision matrix and covariance matrix, and their bayesian estimation under the matrix normal - wishart conjugate prior distribution. ( 2 ) the deduction of the predictive distribution, proved to be matrix t distribution. ( 3 ) the designs of bayesian multivariate mean value control charts in terms of the relationship between the multivariate wishart distribution and x2 distribution, the bayesian process capability index and its confidence lower limi

    通過多方程模型系統的統計結構,證明了矩陣正態? wishart先驗分佈是模型參數( , )的共軛先驗分佈,研究了該先驗分佈下模型系數矩陣、精度陣和協方差陣的后驗分佈及其貝葉斯估計,對模型報密度函數進行了嚴格的數學推導,並將其應用於多元質控制領域,構造了貝葉斯均聯合控制圖;結合wishart分佈與x ~ 2分佈之間的關系,計與推斷了貝葉斯多指標過程能力指數及其貝葉斯置信下限。
  3. This thesis aims to analyze how to select and assign prestressed tendon, how to design anchorage bearing joint, how to control the crack, how to calculate the axial prestressed force and the third moment and how to design the edge column of top layer. on the base of the research in and out our country and construction of the prestressed structure, some helpful conclusion and suggestion are presented, which is suggestive for the design and construction of long span continuous prestressed concrete frame

    本文將綜合計與施工兩個方面,對應力筋的選用、布置,錨固區的計及構造處理,裂縫問題,側約束對梁軸壓應力及柱中第三彎矩的影響,頂層大跨邊柱計等幾個問題進行系統的分析研究,並在國內外研究和大工程實踐的基礎上,提出了一些建議和防措施,對此類工程計和施工有一定的參考價
  4. The sprt was used to test error residual matrix between estimated matrix and measured matrix. based on the test result, it need to validate single parameter if necessary. finally, the on - line run status of the system and its parameters that whether natural or not are judged through these processes

    通過鍋爐專家制定的試驗計方案得到了有效的實驗數據,利用最模型以及排序模型篩選出記憶矩陣,然後通過記憶矩陣對觀測矩陣進行實時訓練得到測矩陣,再利用sprt方法對測矩陣與觀測矩陣的殘差矩陣進行檢驗,對檢驗結果判斷,如有必要需對單參數進行驗證,最終通過這個過程判斷出系統及各個參數在線運行的穩定性。
  5. The main research content of the article is involved as follows : ( 1 ) the research and discussion of the quantitative metallographic analysis methods and the measuring methods of micro hardness. ( 2 ) the application of digital image technique in metallographic image preprocess such as gray level transformation, dichotomy, noise eliminating, dilation and erosion, image enhancement, boundary detection, etc. the application of the wavelet and multi - resolution analysis in metallographic image procession to improve the measuring accuracy and efficiency. the application of the region growth and mathematical morphology in analyzing image parameters to improve the flexibility and exaction

    本文的主要研究內容: ( 1 )定金相分析和顯微硬度測的方法研究; ( 2 )利用數字圖像處理技術,實現金相圖像的灰度轉換、二化、噪音消除、膨脹收縮、圖像增強、邊緣提取等處理;引入小波理論、基於數學形態學的區域生長法對采樣圖像進行分析,實現了對採集圖像邊緣的有效提取,從而提高了測精度; ( 3 )開發了金相圖像分析系統的主體結構(硬體結構和軟體結構) ; ( 4 )採用windows開發平臺的面對象程序計語言microsoftvisualc + +進行系統的模塊化計; ( 5 )提出了採用多模式的知識表示方法建立知識庫,應用正反推理、模糊數學模型、基於規則的模式匹配模型建立金相分析專家系統。
  6. They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world

    在此基礎上,篩選出23個警兆指標:農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產增長率、豬年末頭數增長率、醫藥紡織工業產增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在警方法上作了新的嘗試,把糧食價格警問題轉換成一個機器學習問題,引進當前國際上機器學習領域中比較熱門的統計學習理論和支持機方法,用順序回歸演算法對歷史數據進行學習建立了糧食價格警模型。
  7. 5 ) this dissertation presents new predictive models for the transient stability and small signal stability based on support vector machine theory that can solve the problems such as finite samples. a new method of feature selection and sample condensation is proposed to build predictive model which improves the practicability of the model greatly

    5 )論文首次利用基於小樣本技術的支持機理論,計了新的暫態穩定、小擾動穩定特徵測模型,提出了新的適合測模型構建的特徵選擇、數據采樣策略,提高了模型的實用性。
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