改進閾 的英文怎麼說

中文拼音 [gǎijìn]
改進閾 英文
improvement threshold
  • : Ⅰ動詞1 (改變) change; transform 2 (修改) revise; alter; modify 3 (改正) rectify; correct 4 ...
  • : 進構詞成分。
  • : 名詞1. [書面語] (門坎兒) threshold; doorsill2. (界限; 范圍) threshold
  • 改進 : improve; make better; better; mend; improvement; perfection; melioration
  1. ( 2 ) the key to improve the processing time is the multi - scale feature used to accelerate the binary - process. ( 3 ) apery intelligent character cognitron has been given based on the varied - grid feature vector and multiplayer and multi - mode of cognition psychoanalysis

    ( 2 )識別實時性的關鍵是提高二值化處理速度,主要利用小波多尺度特性變值的全局搜索為局部定位,提出一種的二值化方法。
  2. Firstly, second harmonic component ratio and dead angles of two phase inrush ' s dispersion in three - phase transformes are acted as input variable. secondly, the method applies improved algorithm based on the original algorithm of multi - layer forward back propagation network, that is to say, adding last variational effect of weight value and bias value to this time and making use of variable learning rate. at the same time, this method also adopts dynamic form in the number of hidden floor node

    首先,文中將三相變壓器兩相涌流差流的二次諧波含量比和間斷角作為網路的輸入變量;其次,利用對原有bp網路訓練演算法基礎上的型演算法(即在計算本次權值和值的變化時增加上一次權值和值變化的影響以及採用變學習率,與此同時隱含層神經元個數採用動態形式) ,通過樣本訓練使網路結構模型達到最優。
  3. A new concept of efficient support is proposed and its two liminal theorems are given and proved. the amelioration algorithm of fuzzy association rules discovery is raised based on efficient support. the uncertainty of the sepm process is noticed

    提出了模糊模式有效支持度的概念,對其值的選取給出了有關的定理;基於有效支持度對模糊關聯規則挖掘演算法行了;研究了sepm中的不確定性,提出了模糊狀態演化模式挖掘( fsepm ) ,並對實現過程行了詳細研究,接下來引入有效支持度的概念對fsepm行了優化。
  4. According to the different characteristics between signal and noise on wavelet transform domain, also considering the voiced and unvoiced speech has different features, a modified method of speech denoising which is using a changing threshold at different scales is proposed

    摘要分析了信號和噪聲在小波域的不同特徵表現,並根據語音中濁音和清音的特點,提出了一種的多尺度多值的小波域語音去噪方法。
  5. Based on these algorithms, and consider the property of the arc image, we proposed a new multi - stage algorithm. the proposed algorithm involves the class separability criterion in pattern recognition, and double - threshold method and non - maximum suppression proposed in canny operator. we apply this algorithm to the arc image, and get a better result

    並在這些演算法的基礎上,基於電弧圖像的特點,提出了一種的多階段邊緣檢測演算法,這個演算法中應用到模式識別中的類別可分離判據的理論,並使用了canny演算法所中提出的雙值法和非極大值抑制方法等等。
  6. The improvement on selection of cluster head : considering the remaining power and power consumption in transmission of candidate cluster heads, the valve value is adjusted and a new cluster head selection mechanism is adopted

    簇頭選擇演算法的:通過考慮候選簇頭節點的剩餘能量水平和它們傳輸時的能量消耗,對leach中的值t ( n )行調整。從而採用新的簇頭選擇機制。
  7. The principles of erasure codes used under binary erasure channels are summarized and erasure codes which belong to standard classes of rs codes are introduced with emphasis on cascaded low - density erasure codes with linear time encoding and erasure recover algorithms. thresholds of regular degree distributions are analyzed. it is shown that low - density erasure codes based on ( d, 2d ) - regular sequences of degree distribution are not close to optimal ( d 3 ). two pares of irregular degree distribution sequences are introduced and a pare of improved right regular sequences of low - density erasure codes are presented, it is testified that the new sequences are asymptotically quasi - optimal. in the meantime, simulations of cascaded low - density erasure codes based on a few types of special sequences of degree distribution available are given, together with performance analyses on these codes

    闡述了應用於刪除通道下的糾刪碼基本原理,介紹了兩類標準的rs碼類糾刪碼,重點分析了具有線性時間編碼和恢復演算法的漸近好碼?級聯型低密度糾刪碼,分析了正則度分佈的值,對正則低密度校驗碼在刪除通道下的糾錯性能行了模擬,從理論上證明了基於( d , 2d ) -正則度序列的低密度糾刪碼都不是漸近最優碼( d 3 ) ,同時還分析了非正則低密度校驗碼的度序列設計,基於右邊正則序列提出了一種型右邊正則序列,證明了此序列為漸近擬最優的,對基於幾類現有典型度分佈序列的級聯型低密度糾刪碼行了模擬模擬及性能分析; 3
  8. 4. adaptive thresholds edge detection for image based on wavelet transform was presented to avoid losing weak edge

    ( 4 )提出基於的b樣條小波變換的自適應值圖像邊緣檢測演算法。
  9. ( 2 ) traditional marked - basket analysis has been improved, since it only cares for that the customer have bought something or not, ignores the quantity of those bought, there are some more limitations in practical application. in the paper, i am concerned about both cases, then introduce the idea of interest - weighted to marked - basket analysis, put forward the algorithm how to acquire the interest - weighted threshold, therefore, the association rules mining by interest - weighted on quantitative extended concept lattice is more practical

    了傳統的購物籃分析,由於傳統的購物籃分析只關心顧客是否購買商品,忽略其購買的數量,因而在實際應用中,有很大的局限性,在本文中,不僅要關心顧客是否購買商品,而且考慮顧客購買的數量,在傳統的購物籃分析中,引入興趣度加權思想,並提出了如何獲取興趣度加權值的方法,因此在了傳統的購物籃分析基礎上,基於量化概念格所挖掘出的關聯規則有更貼近於實際和應用價值。
  10. Firstly, a fourth - orders statistic hypothesis testing in inter - frame difference is used to automatically separate the moving areas from the background in a general video sequence. secondly, change areas are extracted as markers of the corresponding moving object. using the marker, region - growing algorithm can locate the precise boundary of moving object

    ( 3 )基於輪廓跟蹤;首先介紹了提取初始模板方法?基於高次統計的判決演算法,通過選擇合適的背景噪聲值,最終得到較好的結果,然後對於後續幀中的邊界提取,提出將灰度圖像所使用的區域生長方法,即將它們運用到彩色圖像中,通過選擇合適的生長規則,得到較好邊界圖。
  11. This paper mainly accomplished the following research : summarize the classify and application fields of four - probe testing technology ; take the square four - probe testing technology study by using the advantage of rymaszewski method in auto - eliminating the portrait wandering influence to induct ry method to square - probe testing method ; deeply study the influence of probe wandering to progressed ry method testing result ; complete the design of testing panel and testing circuit, realize the auto - testing of mono crystal wafer ; discuss the image enhancement and threshold selection problem in image identify, and finally accomplish the identify of probe pinpoint. the main new view points of the research : 1. it is the first time for applying image manipulation and analysis technique to the sheet resistance measurement, and achieving the auto - location function of the probe

    為此,本文開展了以下研究工作:綜述了四探針技術的分類以及應用范圍;對方形四探針測試技術行了研究,利用rymaszewski法自動消除探針縱向游移影響的優點,將它應用於方形探針測試法中,並對探針游移對rymaszewski法測試結果的影響行了深入探討,提出了用圖像識別技術監測測試行的方法;完成了測試系統的測試平臺以及測試電路的設計,研製出具有圖像識別功能的斜置式方形探針分析儀一臺,實現了矽片電阻率測試的自動化;對圖像識別過程中涉及到的圖像增強和值選擇問題行了論述,最終實現了對探針針尖的圖像識別以及探針測試結構的自動調整,保證了方形探針測試儀的測試精度。
  12. The technology of automatic choose of threshold value is used, and it make the choose more reasonable. the graying arithmetic is improved in order to pick up interest point and target easily

    本文在應用部分採用了自動值選擇技術,使值的選擇更合理;對灰度化演算法行了,目的是較容易的提取興趣點和目標。
  13. Then the gray image is transformed into a binary image through a one - by - one - point section - threshold binary algorithm. after that, a postprocessing is implemented on the given binary image. in the part of thinning algorithm, an improved thinning algorithm derived from the opta is introduced in, for the purpose of producing high quality skeleton of fingerprints, on which the more accurate fingerprint feature location and type are based

    採用離散方向法來求取指紋的點方向圖,而用直方圖法結合動態分塊得到指紋的塊方向圖;再對指紋圖像行方向法濾波;然後使用逐點局部值法,對指紋圖像行二值化處理;二值化后對二值圖行后處理;細化演算法採用基於opta的細化演算法,可以獲得高質量的指紋骨架。
  14. 1. a modified denoising method based on vc dimension and wavelet package is presented, improving the shortcomings of denoising methods based on empirical risk minimization and wavelets thresholds

    針對傳統的基於經驗風險最小化信號消噪方法和現有的小波值信號消噪方法的不足,基於統計學習理論,提出了一種的vc維小波包信號消噪方法。
  15. During segmentation of the bridge image, this paper synthetically thinks over the advantages of self - adapted selection threshold and iterative selection threshold, and presents own self - adapted iterative selection threshold. what ' s more the variance of the infrared image is neatly applied to the visible image. at the time of beeline extraction, this paper mends hough transformation, and use novel method, which reasons the information gamed from the transformation field into the image field, to eliminate the inability to locate beeline of hough transformation

    做橋梁識別,行圖像分割的時候,本文結合了自適應值選擇演算法與迭代值選擇演算法的優點,提出了自適應迭代值選擇演算法,同時把紅外圖像中的方差圖引入到可見光圖像的處理中;在圖像中提取直線的時候,對hough變換行了一些,同時針對其不能定位的缺點,使用了把變換域得到的信息反推到圖像域的方法,解決了這個問題。
  16. To be dealed agaist extended data, this thesis has improved on and come true arithmetic of time sequence model, and amended conventional decision tree arithmetic, introduced the decision tree arithmetic for extended data, namely threshold value control approach. according to threshold value and concept hierarchy, threshold value control approach can set up the concise and statistic classification tree. at the same time, based on the theory of the concept lattice, this thesis introduces the arithmetic of mining association rules based on quantified concept lattice reduced by uncertainty coefficient

    針對泛化后的數據,本文並實現時間序列模式發現演算法;修了傳統的決策樹演算法,提出了一種適合於泛化數據的決策樹構造演算法:值控製法,值控製法通過值和概念層次的控制,可以建立簡潔明了、具有統計意義的分類樹;在概念格理論基礎上提出了基於不確定系數法挖掘關聯規則的演算法。
  17. 3. to meet the real - time demand in the robot soccer competition, this thesis proposed a color image segmentation method using improved threshold vector algorithm in yuv color space. the new algorithm can classify 8 colors in one time, so the speed of the algorithm is improved a lot

    針對足球機器人系統中對視覺系統實時性方面的具體要求,提出了一種值向量彩色圖像分割方法,對於一個未知顏色的像素點,一次計算就能夠判斷其顏色,並將其行分類。
  18. The data spatial cell partitioning and data object allocating methods based on the problem of boundary outlier misjudgment in cell outlier mining algorithms are discussed. then a dynamic adjustment function on dataset boundary threshold is defined and an improved algorithm on the cell - based outlier is brought forward. it can greatly reduce the amount of misjudgment on boundary outlier by the algorithm discussed in this paper without increasing the complexity and the calculating time of the original algorithm

    針對演算法中邊界處孤立點的誤判問題,給出了數據空間的單元格劃分及數據對象分配方法,定義了數據集邊界值動態調整函數,提出了基於單元的孤立點挖掘演算法的演算法,在不增加原有演算法時間復雜度的前提下,極大地減少了邊界處孤立點的誤判。
  19. Because of the abundant upright texture characteristics of the plate area, the algorithm of improved image difference and the algorithm of finding the lowest error limit data are employed as first disposal

    基於車牌區域具有豐富的豎直紋理的特點,本文首先採用了的橫向差分法和最小誤差值法對去除過背景的多車牌圖像行預處理。
  20. The paper recounts implementing thoughts of this system and advances some improved algorithm in pretreating image, for example image enforce, segmentation of image and so on. we get rather satisfying effect by using these algorithms. in initial phase of the system, in order to get the information of field and automobile " s edge, the paper introduces detecting algorithm to confirm end - points of field, improved hough algorithm, and worm - following algorithm to pick up edge. in real - time checking phase, the most importance aim is to identify sign circles, so we advance a qiuck searching algorithm based on threshold

    文中詳敘了系統的實現思路,對于預處理階段採用的圖像處理技術,如圖像增強、圖像分割等,提出了一些相應的演算法,取得了較滿意的處理效果;在系統初始化階段,為了獲取場地的端點信息和汽車邊緣信息,分別介紹了自動確定場地端點位置的檢測演算法、的hough變換演算法和提取區域邊緣的「蟲隨法」 ;在系統的實時檢測階段,最主要的目的是識別檢測標志圓,為此,文中提出了基於值的快速搜索演算法,有效的提高了目標物體區域的提取和識別速度。
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