行最小值規則 的英文怎麼說

中文拼音 [hángzuìxiǎozhíguīzé]
行最小值規則 英文
row minimum rule
  • 行 : 行Ⅰ名詞1 （行列） line; row 2 （排行） seniority among brothers and sisters:你行幾? 我行三。where...
  • 最 : 副詞（表示某種屬性超過所有同類的人或事物） most; best; worst; first; very; least; above all; -est
  • 小 : Ⅰ形容詞1 （體積、面積、數量、強度等不大） small; little; petty; minor 2 （年紀小的; 年幼的） youn...
  • 規 : Ⅰ名詞1 （畫圓形的工具） instrument for drawing circles 2 （規則; 成例） rule; regulation 3 [機械...
  • 則 : Ⅰ名詞1 （規范） standard; norm; criterion 2 （規則） regulation; rule; law 3 （姓氏） a surname Ⅱ...
  • 規則 : 1. （規定的制度或章程） rule; regulation; ordination; prescribed procedure; rope 2. （整齊） regular
  1. This thesis explains the necessity of the character recognition technology of the computer at first, describe the meaning in which the handwritten numeral discerns ; pretreatment technology of handwritten numeral recognition, including two value, line segmentation, word segmentation smooth, removing noising, standardization and thinning are discussed two value concretely discusses whole threshold value, some threshold value, dynamic threshold value and utilize space information to carry on threshold, which are several kinds of common method of choosing threshold value, especially utilize space information to carry on threshold value is describe in detail ; adopting to the foundation of thinning based on mathematics morphology, thinning algorithm of serials same and thinning algorithm of protecting shape are discussed ; afterwards, according to principle ' s diagram of the on - line character recognition, by analyzing the structure feature of the handwritten numeral, this thesis has proposed the online recognition te chnology of the free handwritten numeral based on the stroke feature and the online recognition technology of the free handwritten numeral based on the multistage classifying device. detail narrated noise removing, stroke characteristic definition and discernment, distance criterion of whole word match ; then under the foundation of handwritten numeral segmentation, off - line handwritten numeral recognition is researched. especially minimum distance classifying device, tree classifying device and adaptive resonance ( art ) network classifying device is discussed at the same time, believes degree analyses are introduced to integrate a lot of classifying devices ; at the end, the typical application of the handwritten numeral recognition was briefly narrated, its application in extensive data statistics, financial affairs, tax, finance and mail sorting have been explored

    二值化時對整體閾值二值化、局部閾值二值化、動態閾值二值化和利用空間信息進行閾值選取幾種常用的閾值選取方法進行討論，特別對利用空間信息進行閾值選取進行了詳細論述；在對通過對基於數學形態學的細化的基礎上，討論序貫同倫形態細化演算法和保形的快速形態細化演算法；然後依據聯機字元識別原理框圖，分析了手寫數字的結構特點，提出了基於筆劃特徵的任意手寫數字在線識別技術和基於多級分類器任意手寫數字在線識別技術，對其中涉及的筆劃識別前的噪聲處理、筆劃間特徵量的定義及識別、整字匹配的距離準則進行了詳細敘述；繼而在對手寫數字的分割的基礎下對脫機手寫數字識別進行了研究，對基於最小距離分類器字元識別、基於樹分類器的字元識別、基於自適應共振（ art ）網路的字元識別分別進行了詳細討論，並引入置信度分析將多個分類器進行了混合集成；最後簡單闡述了手寫數字識別的典型應用，對其在大規模數據統計、財務、稅務、金融及郵件分揀中的應用進行了探索。
  2. For the dynamic process of ship rolling movement, this paper analyses its dynamic date with time series analysis method and brings up this system ' s the most excellent autoregressive model ( ar model ) according to least aic criterion ( akaile, information criterion ). it reveals the regular pattern of ship rolling movement and forecasts the future value of roll angle and pitch angle, then transforms it to adjusting value of object and adjusting it according to appropriate control rules

    對于船舶搖蕩運動這一動態過程，採用時間序列分析的方法，建立系統的自回歸模型（ ar模型） ，並根據最小aic信息量判定準則保證建立的系統模型為最優化模型。利用參數模型的方式對船舶橫搖、縱搖運動的動態數據進行分析處理，揭示船舶搖蕩運動的規律，預測船舶橫搖角、縱搖角的未來值。
  3. The search space is divided into many small areas, and each area is given a certain pheromone value. according to the state transition rules, the artificial ants move to the next solution which is generated randomly or calculated by particle swarm optimization. local search strategy is also added into psaco so that the search speed and precision is enhanced

    該演算法首先將連續對象定義域平均分成許多邊緣相互重疊的小區域，區域的稠密程度決定了演算法解的精度，每個區域賦予一定的信息素值;螞蟻根據狀態轉移規則在隨機生成的可行解與利用微粒群演算法得出的可行解之間選擇下一步要去的位置;引入局部尋優策略，加強近似最優解鄰域內的局部搜索，提高搜索速度和精度。
  4. Then, the minimum circumscribed circle and shape principal orientation of the object region are calculated ; and the object region is divided into some blocks in the polar coordinate, which uses the center of the minimum circumscribed circle as the origin and the direction of the shape principal orientation as the direction of the polar axis, and the features of all subblocks are extracted to compose shape histograms and then smoothed ; then, combined with global features to synthetically represent the content of the image ; finally, a new image similarity is used to compute the distance between images

    首先對商標圖像進行預處理，得到規則二值圖像;計算目標像素的最小外接圓和圖像的形狀主方向;在以最小外接圓圓心為原點、形狀主方向為極軸方向的極坐標中將圖像分塊，提取各子塊特徵，構成形狀直方圖並平滑處理;再結合全局形狀特徵來綜合表示圖像內容;最後採用新的相似性度量方法計算圖像間距離，實現商標圖像的準確檢索。
  5. 2. to the problem that the data table will be searched many times in mining of associative rules, an algorithm using with equivalence classes concept of rough analysis in the mining of single - dimensional boolean associative rules is introduced. the algorithm uses multiple minimal support thresholds instead of single minimal support threshold to settle with its limitation in the finding of frequent items, which makes the resultant rules set more proficiency, and including more significant rules

    針對關聯規則挖掘過程中多次搜索數據表的問題，將rough分析的等效類概念引入到關聯規則挖掘中，針對單維布爾關聯規則問題提出一種挖掘演算法，同時針對單一的最小支持度閾值的缺點，提出使用多個最小支持度閾值來進行頻繁項集挖掘，可使得結果規則集合更加精練，包含更多的有意義規則。
  6. By processing the observed data sequences of target position using the fuzzy imm approach based on current statistics model, the proposed method integrates multiple filtering and predicted values of target state from different trackers using the adaptive weighting fusion approach based on total least - squares error rule, which improves the precision and robustness of tracking system

    該方法在對各跟蹤器輸出的目標位置測量值序列採用基於「當前」統計模型的模糊交互多模方法進行處理的基礎上，採用基於總均方誤差最小規則的自適應加權融合方法對目標狀態的多個濾波與預測值進行綜合處理，較大程度上提高了系統的跟蹤精度與穩定性。
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