數學收斂系統 的英文怎麼說

中文拼音 [shǔxuéshōuliǎnxìtǒng]
數學收斂系統 英文
mathematically convergent system
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 學 : Ⅰ動詞1 （學習） study; learn 2 （模仿） imitate; mimic Ⅱ名詞1 （學問） learning; knowledge 2 （學...
  • 收 : Ⅰ動詞1 （把攤開的或分散的事物聚集、合攏） put away; take in 2 （收取） collect 3 （收割） harvest...
  • 斂 : Ⅰ動詞1 （收起; 收住） hold back; keep back 2 （約束） restrain 3 （收集; 徵收） gather; collect; ...
  • 系 : 系動詞（打結; 扣） tie; fasten; do up; button up
  • 統 : Ⅰ名詞1 （事物間連續的關系） interconnected system 2 （衣服等的筒狀部分） any tube shaped part of ...
  • 數學 : mathematics
  • 收斂 : 1 （減弱或消失） weaken or disappear 2 （約束言行） restrain oneself 3 [數學] convergence; constr...
  • 系統 : 1. （按一定關系組成的同類事物） system 2. （有條理的;有系統的） systematic
  1. Disigning coolant channel on the firebox of liquid rocket engine to loxodrome ( equal - angle helix ) groove can improve firebox coolant capability greatly. because the width dimension of loxodrome groove is narrow and the depth is deep, some machining methods are incapable, such as end - milling or electrochemistry. according to the peculiarities, a cnc disk - cutter - milling method which is composed of five motion axes with four simultaneously interpolated ones is researched. because most firebox generatrix is composed of complex curves, it is very difficult to get cnc cutting program with manual means. in order to deal with the problem, the loxodrome mathematics model is studied, and an auto - programming software system is developed. the software system can generate cnc cutting program of loxodrome on many kinds of turned surface. the constriction - distension segment of firebox is the most representative workpiece. the sharp changing of its generatrix slope makes loxodrome milling difficult. with the theory analyzing and practice cutting experiment, some applied techniques, which include milling mode and direction, choosing cutter diameter and cutting start point setting, are developed. adopting the technology above, tens regular workpiece have been manufacturing. the two - year manufacture practice has confirmed the validity and feasibility of developed loxodrome coolant channel milling method. the developed technology is also worth to be referenced to other similar workpiece

    將液體火箭發動機燃燒室的冷卻通道設計為斜航線（等傾角螺旋線）槽形，可以大幅度改善燃燒室的冷卻性能.斜航線冷卻槽的槽寬尺寸較小而槽深尺寸較大，所以無法使用棒銑刀銑削、電化學等加工方式.針對這些特點，提出了五軸控制、四軸聯動的數控片銑刀銑削加工方法.由於燃燒室外表面的母線輪廓復雜，手工編制數控加工程序難度大.為了解決數控加工程序的編制問題，研究了斜航線的數學模型，開發了自動編程軟體系統.使用該系統，可以生成多種母線輪廓回轉體外表面上的斜航線數控加工程序.燃燒室收斂-擴張段的母線斜率變化大，加工難度大，是斜航線冷卻通道加工的最典型工件.經過理論分析和實際切削實驗，研究了針對該類型工件的片銑刀直徑選擇、銑削方式和方向、刀具調整和起刀點的設置等多項實際的加工方案.採用上述的一系列技術，已經成功地加工了數十個合格工件.經過兩年多的實際生產過程應用，驗證了所開發的斜航線冷卻通道加工方法的正確性和可行性.這些加工技術的研製成功，對其他相似類型零件的加工亦具有參考意義
  2. Finally, bp neural network is improved for face recognition, the problem on choice of parameters is discussed, the sigmoid function and weight adjustment are improved for higher convergence speed

    討論了傳統bp神經網路的參數選取問題，對sigmoid函數和網路學習速率進行了改進，以提高系統的收斂速度和收斂率。
  3. 1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages

    為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率，本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上，提出了基於增量核主成份分析（ ikpca ）的入侵檢測特徵提取方法，並對該方法進行了收斂性分析，同時結合模擬試驗對其正確性進行了驗證;另外，本文通過研究獨立成份分析和神經網路，提出了基於快速獨立成份分析和神經網路的入侵檢測方法（ fastica - nnids ） ，並通過對kddcup99的10 %數據集的檢測比較了核主成份分析（ kpca ） 、增量核主成份分析（ ikpca ）和快速獨立成份分析（ fastica ）在入侵檢測特徵提取方面的優缺點。
  4. Traditional power control algorithin is to use a convergent iteration fimtion to set up a mathematical model. when such method is used to control the power of user, we should find the optimum solution vector of the convergent iteration funhon by iteration transform

    在傳統的功率控制演算法，通常採用某個迭代關系式為其建立某一的數學模型，該迭代關系式應滿足收斂特性。
  5. In the course of modeling, we present multi - step generalized gradient method and multi - stage curve fitting technique, prove convergence of multi - step generalized gradient method by using differential equation stable theory, analyze the error of multi - stage curve fitting technique by using inner space, creat knowledge base of water network system by using the maximum subordinate principle of and near - select principle of pattern recognition. at last we make the optimal running scheme of water network system based on heuristic search technique of artificial intelligence and global feedback immediate coordination method of large scale system theory

    在建立系統模型的過程中，提出了多步廣義梯度法和多層曲線擬合的建模方法，並用微分方程穩定性理論證明了多步廣度梯度法收斂性，用內積空間的有關知識對多層曲線擬合進行誤差分析;應用模糊數學中的最大隸屬度原則和模糊識別中的擇近原則和人工智慧中狀態空間表示法建立注水系統的知識庫;用人工智慧中的啟發式搜索技術和大系統理論中的具有全局反饋的直接協調法制定注水系統的優化運行方案。
  6. Aim at the dtc ' s blemish mentioned above and the direction of dtc technique development, the dissertation put great emphasis on the work as follows, with an eye to exalt dtc system function : ( 1 ) a new speed - flux observer of an induction motor is proposed to enhance the accuracy of flux observing, which is an adaptive closed - loop flux observer and different from the traditions. a new adaptive speed - observation - way is deduced out according to the popov ' s stability theories ; ( 2 ) to improve the performance of dtc at low speed operation, we have to exalt the accuracy of the stator flux estimation and a new way of bp neural network based on extended pidbp algorithm is given to estimate and tune the stator resistance of an induction motor to increase the accuracy of the stator flux estimation ; ( 3 ) digital signal processor is adopted to realize digital control. an device of direct torque control system is designed for experiment using tms320lf2407 chip produced by ti company ; ( 4 ) bring up a distributed direct torque control system based on sercos bus, sercos stand for serial real time communication system agreement which is most in keeping with synchronous with moderate motor control ; ( 5 ) the basic design frame of the hardware and software of the whole control system is given here and some concrete problem in the experiments is described here in detail

    針對上面提到的直接轉矩控制的缺陷和未來直接轉矩控制技術發展方向，本論文重點做了以下幾個方面的工作，目的在於提高dtc系統的綜合性能： （ 1 ）提出一種新型的速度磁鏈觀測器，新型的速度磁鏈觀測器採用自適應閉環磁鏈觀測器代替傳統的積分器從而提高磁鏈觀測的精度，並且根據popov超穩定性理論推導出轉速的新型自適應收斂律； （ 2 ）改善系統的低速運行性能，主要從提高低速時對定子磁鏈的估計精度入手，提出了一種提高定子磁鏈觀測精度的新思路? ?利用基於bp網路增廣pidbp學習演算法來實時在線地修正定子電阻參數； （ 3 ）採用數字信號處理器dsp實現系統全數字化硬體控制，結合ti公司生產的tms320lf2407晶元，設計了直接轉矩控制系統的實驗裝置； （ 4 ）提出了基於sercos總線網路化分散式的直接轉矩控制系統， sercos （ serialrealtimecommunicationsystem ）是目前最適合同步和協調控制的串列實時通信協議； （ 5 ）基本勾勒出整個控制系統的硬體和軟體設計基本框架，詳細描述一些實驗中的具體的細節問題。
  7. Through chaos optimization method embedded into the genetic algorithm. the algorithm with the combination the advantages of the genetic algorithm and chaos optimization method which need not the optimal problem function ' s differential and promote the ability of the genetic algorithm ' s locally meticulous search can be obtained with the faster convergence and the greater probability for the global solution. a chaotic sequence is inserted into the search procedure of genetic algorithm, which can overcome premature of the search by genetic algorithm and the speed of convergence is faster than standard genetic algorithm

    對遺傳演算法進行了理論分析，並且研究了遺傳演算法的設計與實現；利用混沌優化方法不依賴于梯度信息的性質，將其與遺傳演算法相結合，提出了一種求解連續不可微函數優化問題的混合遺傳演算法；基於對于符號動力系統的研究，利用混沌序列的遍歷性，將混沌序列引入遺傳演算法中，提出一種嵌入哈爾濱工程大學博土學位論文一混飩序列的遺傳演算法，該演算法有效地克服了標準遺傳演算法中的早熟現象，並且具有更快的收斂速度。 」
  8. In training of back - propagation neural network, parameter adaptable method which can automatically adjust learning rate and inertia factor is employed in order to avoiding systemic error immersed in a local minimum and accelerating the network ' s convergence ; introduced the further optimization of the network ' s structure, it gives the research result of selection of the hidden layers, neurons, and the strategy of re - learning, compared the sums of the deviation square of this algorithm with conventional bp algorithm, as a result, the approach accuracy and the generalization ability of the network were extremely improved

    在對前饋神經網路的訓練中，使用參數自適應方法實現了學習率、慣性因子的自我調節，以避免系統誤差陷入局部最小，加快網路的收斂速度；提出了優化bp網路結構的實驗研究方法，並給出了有關隱含層數和節點數選擇以及再學習策略引進的研究結果。將該演算法同傳統bp演算法的預測偏差平方和進行比較，結果證實網路的逼近精度及泛化能力均得到了極大的提高和改善。
  9. Later on, after elaborating the disadvantages of the old methods in detecting and recognizing moving objects, a series of corresponding approaches are proposed, such as grid scan, local tracking bug and dynamic window in object tracing to reduce the huge data needed to be processed, maximum and minimum for selecting a proper segmentation threshold and improved conversion from rgb model to hsv and so on to decrease the influence of inhomogeneous lighting and the color noise, a bilinear interpolation in each quadrant to eliminate the bad effect on the recognition precise because of the distortions of the camera. after that, much emphasis is given on application study in pattern recognition with a feed - forward neural network. both the basic bp algorithm and improved bp algorithm in the study process are described in detail, and the later is used to quicken convergence speed and improve validity of the network

    然後，分析和闡明了傳統的運動目標檢測方法的不足，並在此基礎上結合研究中的實際實驗環境，提出了一系列解決方法，包括針對降低龐大數據量而提出的網格掃描、局部「跟蟲」追蹤和動態窗口掃描等目標檢測方法，針對實驗環境中光照不均和顏色干擾提出基於人機交互的最大最小值閾值選取方法和引入改進的rgb模型到hsv模型的轉換方法，為消除圖像畸變對識別精度的惡劣影響而採用的通過控制點進行雙線性插值進行畸變校正的方法；緊接著，概述了神經網路的發展歷史和幾種常用神經網路模型的特點，重點研究了前饋型神經網路在模式識別中的應用問題，詳細闡述了基本的bp演算法和學習過程中bp演算法的改進，從而使網路收斂速度更快，解決問題更有效，並在此基礎上，設計了一個基於bp神經網路的運動目標識別系統，給出了實驗結果。
  10. As the essential electrical calculation means, load flow calculation provides important basis for power systems operation and studies, and is indispensable to advanced power systems application software. in this thesis, the development of methods for load flow solution of distribution networks at present have been fully analyzed and evaluated in the aspect of convergence. the algorithm for distribution power systems base on the complex matrix was proposed in this paper, the proposed methods is very efficient and required less computer memory storage observably

    潮流計算是電力系統中應用最廣泛、最基本，也是非常重要的一種電氣計算。它給電力系統的研究人員和實際運行人員提供了重要參考依據，也是許多電力系統高級應用軟體中不可缺少的一部分。本文針對配電網潮流計算的現狀進行了全面分析，深入討論了目前各方法的特點，並從收斂性能及各方面指標進行了比較分析，提出了基於復數矩陣的配電網潮流的原理、數學模型和實現方法，並通過編程于以實現。
  11. ( 2 ) the method of direct adaptive pd neural network is initiated which combine merit the neural network and pid control and the digital simulation is made on the two - stage vibration isolation mounting. the results indicate the theoretical feasibility of the method and pd neural network has quicker learning speed and smaller neural scale than neural network. one new method is provided for active vibration control

    （ 2 ）通過對神經網路控制與pid控制的深入研究，將神經網路與pid控制優點相結合，提出了一種直接自適應pd神經網路的振動控制方法，針對將該方法應用於雙層隔振系統的數學模型進行了數字模擬研究，結果表明該方法有效地降低了網路規模並加快了網路的收斂速度，為振動主動控制提供了一種新的控制方法。
  12. It will eliminate the handicap of slow speed and elevate the correction of recognizing flow type by displacing the traditional arithmetic. it will provide a new method of creating model and measurement to the special parameters in some difficult system. this article is also the development and exploration of two - phase flow measurement and information fusion

    利用信息融合代替傳統的數學建模方法，這將克服以往演算法收斂速度慢等缺陷，並能提高流型識別的準確率，這將為復雜系統中難測參數的建模和檢測提供新途徑，本論文也是對兩相流檢測和信息融合的一個發展和探索。
  13. This theory based on known parameters located at entrance and exit of each unit in the system, adjusts the unknown value of exergy cost back and forth and makes them convergent. the existence of convergence has been proved and meanwhile it achieves that the sum of local optimization becomes system optimization on chain energy systems

    本理論基於給定的系統端點的已知參數，夾擠與調整單元的邊際火用單價使之收斂，使得局部或單元的熱經濟優化結果成為系統總體的優化結果，並在數學上證明了它的收斂性，從而使熱經濟孤立化在鏈式系統具有實用性。
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