algorithm pattern 中文意思是什麼
algorithm pattern
解釋
演算法圖, 演算法模式-
The computational results of the particle images are agreement with the simulated datain reasonable, the most absolute difference of the displacement is 0. 6671 pixel at the x abscissa and 0. 7928 pixel at y abscissa ; the computational results are equal to the data form the algorithm of particle brightness - distribution pattern tracking ( the conventional cross - correlation algorithm ) at voluminous points, their discrepancy is only one pixel at few points, mostly in boundary area
西安理工大學碩士學位論文最後，在visualfortran環境下給出了這種演算法的具體實現，處理模擬粒子圖像的結果與模擬數據比較吻合，最大位移絕對誤差在x方向是0 . 6671像素，在y方向是0 . 7928像素;計算結果與示蹤粒子灰度分佈模板法（基本的互相關法）在絕大部分點是相同的，只在少數點相差一個像素，而且大多出現在邊界區域。 -
Application of lcmv algorithm to pattern synthesis for satellite multiple - beam antenna
方法在衛星多波束天線賦形中的應用 -
By agent classifying documents and algorithm category - level structure, the system is able to perform auto - classify. this system creates the pattern of users visiting
該模型通過文檔分類agent調用類層次結構生成演算法，實現對搜索到的內容自動分類的功能。 -
The document image segmentation is very useful for printing, faxing and such data processing. in this paper, an algorithm is developed for segmenting and classifying document image. feature used for classification is based on the histogram distribution pattern of different image classes
通過對文檔圖像中不同數據類型直方圖差異的研究，首次提出了一種利用小波域子圖像來增強原始文檔圖像，從而對文檔圖像進行有效分割的演算法。 -
This paper puts forward bp improvable algorithm and exponent prediction pattern depending on neural network " s approach ability to non - linear function. comparing with traditional prediction algorithm, bp algorithm is verified to be feasible and accurate on exponent prediction
本文藉助神經網路對非線性函數的逼近能力，提出了bp演算法的改進型演算法及基於bp演算法的指數預測模型，通過對比傳統預測演算法，證實改進后bp演算法用於證券預測的可行性及準確性。 -
The main research issues of this article are as follows : the representation, creation and maintenance of the individuated pattern - base, the improved the improved filtering - matching algorithm and the intelligent filtering system model based on multi - agents
本文的主要研究內容為以下三個部分：個性化模式庫的表示、建立和維護；改進的過濾匹配演算法；基於多agents的智能過濾系統模型。 -
On the major premise of feasibility of this theory, this article based on the practice of fore - runners, has done some further research work about the application of genetic algorithm for image compression and pattern - recognition with a satisfactory result
基於這個理論可行性的大前提，本文在吸取前人實踐經驗的基礎之上，深入研究了遺傳演算法在圖像壓縮，模式識別兩個問題中的應用策略，並得到了比較滿意的結果。 -
Considering the characters of bp neural network, such as the simple structure, the advisable malleability, self - fitness, self - studying, nonlinear function approximating, the considerable abilities of parallel computing, fault - tolerant and so on, the bp algorithm have been extensively applied to the areas of system modeling, pattern recognition and seismic exploration since 1986. compared with other algorithms, as the above reasons, the bp algorithm has become the most usual and efficient solutions to the artificial neural networks
由於人工神經網路中的bp神經網路結構簡單，可塑性強，具有良好的自適應、自學習、極強的非線性逼近、大規模并行處理和容錯能力等特點，自1986年rumelhart等人提出以來，被廣泛應用於系統建模、模式識別、地震勘探等重要領域。而bp演算法數學意義明確，步驟分明，是神經網路中最為常用、最有效、最活躍的一種方法。 -
In sequential pattern, we describe mfr and the algorithm on how to find frequent access paths. in mining association rules, we introduce famous apriori algorithm and propose the optimized dhp algorithm with hashing
在關聯規則的挖掘中，深入的分析了經典的apriori演算法，並運用哈希技術改進它得到dhp演算法，其中詳細闡述了該演算法改進的思路。 -
The fuzzy decision pattern and algorithm of the topic selection are establish initially, through great quantity of basic works of surveys, studies and specialist evaluation. associating with the press work practices, we fix the distribute means of the strategic importance element, for the next steps of fuzzy decision software system analysis and establishment
在大量調研和專家評估的基礎上，初步建立了選題模糊決策的模型和演算法，結合出版工作的實際，確定了選題決策因素集及其各因素的權重分配辦法，為編制選題決策模糊綜合評估軟體系統和出版選題決策的實際應用打下了基礎。 -
In chapter 3, the push / pull pattern is gived out for the system realtime alarm. and the file interface of the alarm data, the algorithm of alarm position based on mapping and the algorithm of alarm icon position on the topological graph are designed. after explaining the principle of network software development using the windows socket, the push technology based on csocket is adopted to push alarm event and the pull technology based on http to pull the alarm page
第三章，給出了實時告警的push pull模式，設計了告警數據文件介面、基於映射的告警點定位新演算法和告警圖標網路拓撲圖上定位演算法，給出了基於windowssocket進行網路應用開發的原理，採用基於csocket的push技術來實現告警事件的推送，利用傳統的基於http的pull技術來實現告警頁面的拉取。 -
The detailed works are as follows : the finding patterns problems in the time - series data sequence are described, and a new trend logic expression method is introduced, and its algorithm and experiment result of algorithm are given ; time - scries data are disposed, and using the arctg. slope of line as the sample of pattern recognition, so ignoring the aberrance of pattern in the classified. in addition, a new time - series pattern finding algorithm based on higher - order neural network is put forward
同時給出了本文的具體的工作，主要是：對在時序數據序列中發現模式問題進行了描述，並介紹了一種新的趨勢邏輯表示方法，給出了其演算法及演算法的實驗結果；對時序數據進行處理，提出了利用線段的斜率反正切值作為模式識別的樣本，從而在分類時忽略模式的畸變；另外，還提出了一個新的基於高階神經網路的時序模式發現演算法。 -
A novel learning algorithm for synergetic pattern recognition
一種新的協同模式識別學習演算法 -
In addition, comparing to direct using fp _ growth algorithms, this algorithm has no need to expand negative item to original database, and construc or destruct additional data structures, which only make some changes on the original frequent pattern tree, so it has certain advantages in time and space costs
除此之外，該演算法與直接使用fp _ growth演算法挖掘含負項目的頻繁項集演算法相比，無需對原始數據庫進行負項目的擴展，也不用再構造並銷毀額外的數據結構，只需在原始的頻繁模式樹上修改，在時間和空間的開銷上都具有一定的優勢。 -
Applying the classical pattern recogtiition theory anci ftiflcial neural networks method, this paper proposes the analog fault diahoes priricip1s with backward - propagation neural network ( i3pnn ) arid self - or ~ anizing feature map ( sofm ) neural network algorithm implementation
本文提出了模擬電路故障診斷前向多層誤差反傳（ bp ）網路和自組織特徵映射（ sofm ）網路的演算法實現方法。 -
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，提出了一種改進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閾值法和非極大值抑制方法等等。 -
This thesis includes four parts in which the technologies of web usage mininig are systematically researched. in the first part we summarize the techniques of data mining and web usage mining, present the significance of the research on web usage mininig, the status of research and the problem which web usage mininig will face with. in the second part we discuss the web usage mininig according to the process of web mining. in the stage of data preparing and preprocessing we discuss the algorithm of data cleaning, user and session identification in detail, and present a data model of association rules and sequential patterns in the stage of pattern discovery, discuss the useful method of pattern analysis in last stage. a synthesis clustering algorithm cppc is proposed in the third part of this thesis
本文分主要從以下四個方面對web使用挖掘進行了系統的分析和研究。第一是對數據挖掘和web挖掘進行了概述，闡述了web挖掘的意義、研究的現狀、面臨的問題。第二是討論了web使用挖掘的三個階段：在數據準備和預處理階段重點討論了數據清洗及用戶和會話識別演算法；在模式發現階段定義了關聯規則和序列模式的數據模型；模式分析階段則討論了現行的幾種分析方法。 -
Detailed analyses the algorithm of weight parameter. introduced the different algorithms of digital beam forming ( dbf ) and direction of arrival ( doa ). based on multi - aircraft tracking telemetry and command system, detailed introduce gradient algorithm pattern which follows the lms error norm
介紹了數字波束形成的基本原理，詳細介紹了波束形成的權值演算法，研究了數字波束形成以及波達方向確定的各種演算法，結合多飛行器測控系統詳細介紹了在最小均方誤差準則下的梯度演算法模型。 -
With the algorithm pattern synthesis for uniform and nonuniform arrays is performed and mainlobes and sidelobes can be controlled effectively as designed
分別對等間距和不等間距陣列進行了方向圖綜合，都能夠按設計要求有效地控制主瓣電平和副瓣電平，使其達到預期的效果。 -
We have done experiments for attaining adaptive recognition algorithm and proposed the scheme of correlation coefficient ( cc ) as the optimum recognition algorithm pattern recognition for volume holographic image - base built by both angular multiplexing technology holographic storage technology were implemented by using cc method
基於該模板對相關峰進行定位，使用相關系數對採用角度復用技術建立起來的體全息圖像庫完成了識別工作。統計了識別準確率和識別速度。
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