自探演算法 的英文怎麼說

中文拼音 [zìtànyǎnsuànfǎ]
自探演算法 英文
self-discovery algorithm
  • 自 : Ⅰ代詞（自己） self; oneself; one s own Ⅱ副詞（自然;當然） certainly; of course; naturally; willin...
  • 探 : Ⅰ動詞1 （試圖發現） try to find out; explore; sound 2 （看望） call on; visit; see 3 （向前伸出）...
  • 演 : 動詞1 （演變; 演化） develop; evolve 2 （發揮） deduce; elaborate 3 （依照程式練習或計算） drill;...
  • 算 : Ⅰ動詞1 （計算數目） calculate; reckon; compute; figure 2 （計算進去） include; count 3 （謀劃;計...
  • 法 : Ⅰ名詞1 （由國家制定或認可的行為規則的總稱） law 2 （方法; 方式） way; method; mode; means 3 （標...
  1. 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。
  2. Thirdly, a novel parameter - varying adaptive algorithm for rtt and rto estimations based on the information theory and the maximum entropy principle ( mep ) is presented. it is used in the implementation of trinomial protocol to detect packet losses and to adjust the sending rate

    再次，給出了一種新的基於信息理論和最大熵原理（ mep ）的變參數自適應rtt和rto估計演算法，在三項式協議實現過程中用於探測丟包及速率調整。
  3. In this thesis, the surface reconstruction for unorganized points, and the design and implementation of the system for constructing the finite element mesh

    本文主要在基於散亂點的三維重建演算法，曲面有限元網格自動生成工具系統的設計和實現等方面進行了研究和探討。
  4. Through the experiment, we test its feasibility. 3 、 to solve the insufficiency of the svm method, the thesis proposes another algorithm based on similarity computing for verb subcategorization acquisition, and use two different sentences similarity getting algorithms to the acquisition : vector space model and the algorithm for sentence structure similarity getting that based on word class cluster

    3 、針對支持向量機方法在自動獲取性能方面的不足，探索提出了基於相似度計算的動詞次范疇獲取演算法，並分別使用了兩種不同的句子相似度獲取演算法:向量空間模型和基於詞類串句子結構相似度獲取演算法，用於動詞次范疇類獲取。
  5. This article canvass the status quo of the archive ' s automatization administration and the develop status of data mining, and discusses how to combine the data mining technology with the archive work from data cleaning means, data mining arithmetic, and data storage etc. and this article put forword a data mining syst em design idea. this article ' s structure is : first, in allusion to the archive data status quo, the pretreatment work of archive data that include data quality evaluation, data cleaning and data commut - ation process is bringed forword ; second, in the process of realizating data mining, the article discusses conception description, association rule, class three familiar means of applicating data mining, also put inforword the concrete arithmetic and the program design chart, and discusses the range and the foreground of all kinds of arithmetic when they are applicated in the archive ; third, the base of so you say, this article also discusses the importance of the archice applicate data storage and the means of realizing it ; last, the article discusses seval important problem of realizing an archive data mining system from data, diversity, arithmetic multiformity, mining result variety and the data pretreatment visibility, mining object descriptive visibility, mining process visibility, mining result visibil ity, user demand description and problem defining etc aspect. the article ' s core is how to import data mining technology in the archive work

    本文評述了檔案自動化管理現狀和數據挖掘技術的發展狀況，從數據清洗方法、數據挖掘演算法、數據倉庫的建立等方面論述了如何將數據挖掘技術與檔案工作相結合的具體思路，並提出了一個數據挖掘系統的設計思想。文章首先，針對檔案數據的現狀，提出了應對檔案數據進行預處理工作，包括數據質量評估、數據清理、數據變換和歸約等過程；其次，在具體實現數據挖掘過程中，本文結合檔案數據的特點探討了概念描述、關聯規則、分類等三種常見挖掘形式的實現方法，提出了具體的實現演算法和程序設計框圖，並論述了各種演算法在檔案工作中的應用范圍及前景；第三，在上述基礎上，又論述數據倉庫在檔案數據挖掘中的重要性並提出了實現一個檔案數據倉庫的方法；最後，從處理數據的多樣性、演算法的多樣性、挖掘結果的多樣性、數據預處理可視化、挖掘對象描述的可視化、挖掘過程可視化、結果顯示可視化、用戶需求的描述及問題定義等幾方面討論了實現一個檔案數據挖掘系統的幾個重點問題。全文以探討如何將數據挖掘技術引入到具體的檔案工作實踐中為核心。
  6. Compared grid routing and gridless routing, an efficient and fast gridless line - search routing algorithm - target - oriented line search routing method for automatic circuit layout - is proposed

    通過比較有網格自動布線和無網格自動布線的優缺點，本文確定採用一種高效快速的無網格線探索布線演算法?朝向目標的線探索法。
  7. The algorithm can not only eliminate the influence of the cumulative errors of the photoelectric code recorder, but also it can satisfy the requirement of the real - time control. a direct inverse model controller of fuzzy neural network with changeable structure based on takagi - sugeno inference is presented and it is used to the motion control of mobile robot. in order to avoid the obstacles successfully, detection results from ccd and ultrasonic sensors are fused by a fuzzy neural network, which acts as an avoidance controller

    包括移動機器人的融合自定位問題：移動機器人利用光電編碼器進行自定位，同時用擴展卡爾曼濾波器融合多個超聲波傳感器的測量值，採用回朔演算法將融合值用於復位光電編碼器，消除了光電編碼器累積誤差的影響，並能滿足實時控制的要求：並提出一種基於takagi - sugeno模型的變結構模糊神經網路直接逆模型控制器，並應用於移動機器人的運動控制；利用模糊神經網路避障控制器融合ccd攝象機與超聲波傳感器探測到的環境信息，以實現機器人的安全避障。
  8. For real world implementation of wavelet theory, we mainly focus on the selection of suitable wavelet bases and related algorithm applied in the following different aspects : in this paper, the selection of wavelet basis function is presented in detail through the investigation of traditional selection of wavelet basis and the theory of lifting scheme, an adaptive wavelet transform is put forward, and the adaptation is come from adaptive choosing between a class of linear predictors within the lifting framework according to the local gradient of the signal. we investigate the central issues such as the structure of adaptive frame and the calculation of corresponding wavelet basis function

    對于小波的應用性研究，針對實際應用，主要對其基函數選取及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面：在論文中，首先對基函數的選取進行了詳細的研究，通過對經典的小波函數選取方法的研究，並在對經典小波變換和提升框架的基礎理論上，提出了利用提升框架並根據信號的局部特徵自適應選取小波基，探討了自適應框架的結構以及相應的小波基函數的計算。
  9. 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。
  10. Nonlinear model based predictive control ( nmpc ) not only is a valuable approach for solving practical control problems, but also is the frontier of nonlinear control theory. the perceptible successes of mpc strategies can be attributed to several factors including its inherent ability to handle input and output constraints, time delay and incorporation of an explicit model of the plant into the optimization problem. this dissertation discusses two kinds of nonlinearity ( or nonlinear system )

    本文沿著理論研究與工程實際相結合的設計思路，較為系統和全面的研究了非線性模型預測控制理論，提出改進新演算法；探討了非線性模型預測控制理論在自主水下航行器控制系統設計中的應用，豐富和發展了模型預測控制理論，本論文的主要工作及意義有以下幾個方面： 1 ）從工程應用的角度研究有限域無終端約束廣義預測控制穩定性充分條件，為有約束廣義預測控制穩定性研究奠定了基礎。
  11. In order to satisfy the new requirement of the police on arresting criminals by on - line information, we took deep research in the recognition of human ' s frontal face, and did lots of experiments in the period of automatic face locating and feature extracting. in this dissertation we proposed a new adaptable two - step face locating algorithm, which combined hbel algorithm and ellipse - model matching algorithm, and men we use eigen - region analysis ( era ) to extract feature

    本文以公安系統的網上追逃為研究背景，著重對人臉正面圖像的靜態匹配做了深入探討，在人臉自動定位和人臉特徵提取方面做了大量的實驗與工作，並獨創性地提出了自適應的二級人臉定位演算法（ hbel演算法+橢圓模板匹配演算法） ，使用基於特徵區域的分析來提取人臉特徵進行識別。
  12. This paper firstly introduces the phylogeny and actuality of tide - power stations ; the development style of them ; and then, establishes the mathematics model of optimal regulation of tide - power stations ; narrates how to use eq, dynamic programming, genetic algorithm to solve the problem of optimal regulation of tide - power stations individually ; makes comparison of three kinds of methods, pointing out the excellence and weakness of each method ; discusses some particular problems of tide - power stations, differing from normal water power stations. besides, this paper uses vb to develop an optimal regulation software which can be used in all tide - power stations

    本論文首先介紹了世界潮汐電站的發展史及發展現狀；潮汐電站的建庫方案；然後建立潮汐電站廠內經濟運行和短期優化調度的數學模型；在此基礎上，進一步使用等微增率法、動態規劃法和基因遺傳演算法來求解潮汐電站優化調度問題，並對三種方法作了比較，指出各自的優缺點；論文也探討了潮汐電站優化調度中不同於常規水電站優化調度的特殊問題的處理方法。
  13. The measurement of defect and the common image processing methods are realized, such as histograms showing, invert transform, fake - color transform and curve transform. 3

    設計並實現了x射線探傷圖像中缺陷尺寸的自動測量及一些常用的圖像處理演算法，如：灰度直方圖顯示、負像、偽彩色以及銳化等； 3
  14. Then navigation asteroids are selected under a integral evaluation, the planning of the photoing sequence is handled with an improved genetic algorithm, along with a difference selection method which optimizes the ratio of navigation evaluation to resource consumption. a single axis randomized expanding algorithm is proposed to solve the large angle slew maneuvers planning problem. this algorithm randomly produces

    對于自主探測器大角度機動規劃問題，本文提出單軸隨機擴展演算法，單軸隨機演算法在生成隨機節點過程中充分利用鄰近點的信息，把規劃問題構造空間的維數由3減少到2 ，從而減少問題求解的搜索空間，最後利用前向搜索的方法對規劃路徑進行優化。
  15. As a preliminary investigation of the channel automatic routing, some of the channel router algorithm, such as left edge algorithm, the dogleg algorithm, net merge channel router and greedy channel router, are analyzed

    作為通道自動布線的初步探索，論文分析了幾種常見的通道布線演算法如左邊演算法、狗腿演算法、合併演算法、貪婪演算法。
  16. In this paper, an algorithm based on watershed transformation and fuzzy logical catchment basins combination is proposed to suppress or remove the feature of natural background, and applied to infrared object boundary detection and labeling

    文中在分水嶺演算法的基礎上，結合模糊邏輯方法，對自然背景下的紅外人工目標的邊界檢測和分割以及紅外背景的抑制進行了探討。
  17. An original mesh generation method based on the nc track points of tool surfaces is proposed here, the method can automatically generate meshes consisting of only quadrilateral elements, which is desirable for better accuracy and efficiency of simulation. besides, an automatic local coarsening algorithm for structured quadrilateral meshes is also developed. for arbitrary discrete points on auto body surfaces, an automatic triangulation method is adopted and a series of mesh optimization methods with given constraint conditions are proposed

    創新地提出了基於模具型腔表面nc數控軌跡點的全自動四邊形網格生成演算法，提出了結構化四邊形網格局部自動優化演算法，研究了基於車身曲面離散點的三角形網格自動生成演算法，並提出了給定約束條件的三角形優化演算法，探討性地研究了基於模具曲率半徑的板料初始網格局部自動細化演算法。
  18. Although these algorithms have different rule forms. algorithm efficiency is still imperfect, but continue to study more efficient, more general inferring algorithms leaves good basis

    雖這些演算法各自有不同的規則形式，演算法效率仍不完美，但是為繼續深入探討更加高效、更加普遍通用的推理演算法奠定了良好的基礎。
  19. The characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
  20. Abstract : the characteristics of quantum computing and the mechanism of immune evolution are analyzed and discussed. inspired by the mechanism in which immune cell can gradually accomplish affinity maturation during the self - evolution process, a immune evolutionary algorithm based on quantum computing ( mqea ) is proposed. the algorithm can find out optimal solution by the mechanism in which antibody can be clone selected, memory cells can be produced, similar antibodies can be suppressed and immune cell can be expressed as quantum bit ( q - bit ). it not only can maintain quite nicely the population diversity than the classical evolutionary algorithm, but also can help to accelerate the convergence speed and converge to the global optimal solution rapidly. the convergence of the mqea is proved and its superiority is shown by some simulation experiments in this paper

    文摘:分析和探討了量子計算的特點及免疫進化機制，並結合免疫系統的動力學模型和免疫細胞在自我進化中的親和度成熟機理，提出了一種基於量子計算的免疫進化演算法.該演算法使用量子比特表達染色體，通過免疫克隆、記憶細胞產生和抗體相似性抑制等進化機制可最終找出最優解，它比傳統的量子進化演算法具有更好的種群多樣性、更快的收斂速度和全局尋優能力.在此不僅從理論上證明了該演算法的收斂，而且通過模擬實驗表明了該演算法的優越性
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