convergence forward algorithm 中文意思是什麼

convergence forward algorithm 解釋
正向演算法的收斂
  • convergence : n. 1. 聚合，會聚，輻輳，匯合。2. 集合點；【數、物】收斂；【生物學】趨同（現象）。
  • forward : adv 1 向前，前進 （opp backward）。2 【航海】在船頭，向船頭（opp aft）。3 今後，將來。4 出來，出...
  • algorithm : n. 【數學】演算法；規則系統；演段。
  1. People put forward radial basis function networks considering the conventional bp algorithm problems of slow convergence speed and easily getting into local dinky value

    對于傳統bp演算法存在的收斂速度慢和易陷入局部極小值問題，人們提出了徑向基函數網路。
  2. At first, in order to prevent the premature convergence of genetic algorithm effectively, the author brings forward a novel dyadic floating - point supplementary mutation operator. then, simulating the natural evolution, the author presents a novel topology, unoriented - connected topology, for parallel genetic algorithm. in the end, an interval decomposed optimization method is brought forward for ipga, which can improve the optimization performance of the algorithm

    為提高演算法的性能，作者對遺傳演算法進行三種改進：首先，為克服遺傳演算法早熟收斂，作者提出一種新的二元浮點補碼變異運算元；其次，模擬生物自然進化模式，為并行遺傳演算法提出了一個新的并行拓撲結構- - - -無定向拓撲連接；最後，作者提出一種區間分解優化思想，來提高對最優解的搜索能力。
  3. Simple genetic algorithm gets local minimization too easily and converges slowly. to solve these problems, adaptive crossover rate that has reverse hyperbolic rel ation with the numbers of iteration is designed, and adaptive mutation rate that has reverse proportion to the distances of parents and reverse exponential relat ion to the numbers of iteration is put forward. the practical simulation results show that the adaptive ga has greater convergence speed and larger probability o f getting the best solution

    簡單遺傳演算法存在著收斂速度慢、易陷入局部極小等缺陷.針對這些缺陷，本文設計出隨相對遺傳代數呈雙曲線下降的自適應交換率，並提出與父串間的相對歐氏距離成反比、隨相對遺傳代數指數下降的自適應變異率.實例驗證表明，具有自適應交換率和變異率的遺傳演算法在收斂速度和獲得全局最優解的概率兩個方面都有很大的提高
  4. Then the paper develop a refrigerant model by means of traditional bp algorithm 、 statistics theory 、 experience theory and thoroughly analyze the combination of these three methods and their predict precision. and then the paper put forward an advanced algorithm on the basis of combining the statistics theory and the problems on the traditional bp algorithm. the imitate results show that the algorithm has an ability of fast convergence speed and

    然後分別應用傳統bp演算法、全量法和增量法建立冷卻劑子模型，對三者的擬合和預報精度作了深入分析，並結合統計學習理論針對傳統的bp演算法存在的問題提出了改進的演算法。模擬結果表明該演算法具有較快的收斂速度和較強的學習能力。
  5. Chapter 4 presents an error back propagation algorithm with quadratic momentum of the multilayer forward neural networks that will speed up the error convergence velocity

    本文提出一種帶二次動量項的多層前向網路誤差反傳演算法，提高了神經網路的誤差收斂速度。
  6. The main conclusions are as follows : through the different structure and algorithm application of bp model in the predication of regional groundwater hydrology, the hidden layers number, learning rates, neuron number of hidden layer and training errors of bp model and accelerated bp algorithm which influence the convergence effects and test results of model are compared each other. some application technology related parameters of bp structure design are put forward

    論文取得了以下主要成果：通過不同bp網路結構和演算法在區域地下水文預測中的實例研究，重點比較了不同層次結構、隱層單元數、學習速率、訓練收斂誤差等4個基本要素及不同演算法、不同樣本容量等對模型收斂效果、模擬、檢驗與預報結果的具體影響。
  7. Some methods are put forward for improving the convergence rate of the coa ( chaos optimization algorithm ) based on second carrier wave, which can greatly increase the velocity and efficiency of the first carrier wave to search for the optimal point at comparatively rough precision, and the refined search can be performed during second carrier wave more quickly as well as accurately

    摘要針對一般的基於二次載波的混沌優化方法收斂慢的弱點，提出了一些改進的方法，大大提高了首次載波尋找最佳點大概位置的速度和效能，同時能更快更精確地實現二次載波的精細搜索。
  8. 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。
  9. Every functional model is designed in detail. the method based on uniformity design 、 wavelet analysis 、 cross validation and support vector machine is put forward for solve the question of nonlinearity 、 small - sample in the spectral multicomponent analysis. the method of selecting good wavelength data for building analysis model is an effective improving analysis precision. to quicken convergence, the piecewise wavelength selection method based on particle swarm optimization algorithm is established

    深入研究了光譜信號的多組分測定問題，以高效、實用化為目標，從實驗設計到演算法選擇進行了較為詳細地分析和論述，提出了基於均勻設計、小波變換和支持向量機的組合式演算法和策略，解決了在光譜多組分測量中遇到的非線性校正問題。
  10. Convergence forward algorithm

    正向演算法的收斂
  11. But, pso convergence ' s speed become slow in latter iterative phase, and pso is easy to fall into local optimization. at present, some scholars improve base pso mostly using 3 methods : disperse algorithm, increase convergence speed, enhance particle ' kinds. in the paper, i put forward 2 methods aiming at local best resutl but not whole best result. i modify base pso using the last method. some scholars put forward times initializations, so i select best result after circulating some times to be a parameter of formula. first, put particle into some small region, and ensure every region having one paticle at least. second, every region ' s particle has probability transfer other regions. although increase running time, enhance particle ' kinds, decrese the probability of convergence far from whole best result. nerms ( network educational resource management system ) is one of the research projects in the science and technology development planning of jilin province. the aim of nerms is to organize and manage various twelve kinds of network educational resources effectively so that people can share and gain them easily and efficiently, so as to quicken the development of network education

    但粒子群演算法仍存在如下不足:首先在多峰的情況下，粒子群有可能錯過全局最優解，遠離最優解的空間，最終得到局部最優解;其次在演算法收斂的情況下，由於所有的粒子都向最優解的方向群游，所有的粒子趨向同一，失去了粒子間解的多樣性，使得後期的收斂速度明顯變慢，同時演算法收斂到一定精度時，演算法無法繼續優化，本文對原始粒子群演算法提出了二點改進方案: 1 .演算法迭代到一定代數后，把此時找到的全局最優解當作速度更新公式的另一參數（本文稱之為階段最優解）再進行迭代; 2 .每次迭代過程中除最優解以外的每個粒子都有一定概率「變異」到一個步長以外的區域，其中「變異」的粒子在每一維上都隨機生成一個步長。
  12. By studying tradition genetic algorithm generating paper, improved genetic algorithm that can improve generating paper ’ s speed and convergence rapidly and satisfy users ’ needs is put forward

    通過對傳統遺傳演算法進行研究，提出了改進型的遺傳演算法組卷，利用該演算法進行組卷，收斂快，效率高，能組出滿意的試卷。
  13. The second chapter defines the concept of basic point 、 polar point 、 best polar point 、 stable polar point 、 degenerate polar point and non - degenerate polar point. it also points out that this algorithm theory is discussed under the degenerate complexion that is : ， ， then call is non - degenerate polar point. it also discussed the solution of the best polar point and put forward this quick algorithm theory and prove its convergence under all polar points are non - degenerate polar points

    第二章定義了基點、極點、最優極點、穩定極點、退化極點和非退化極點等概念，最後指明本演算法理論討論的基礎是基於非退化情況，即： ，其維數，則稱為非退化極點，本文就是要在模型中所有極點都是非退化極點的情況下討論最優極點的求解，並提出和證明了本文快速演算法理論和收斂性，同時得到一個有意義的結論：穩定極點就是最小一乘估計。
  14. This paper focuses on the theories and controller designs of forward neural netwoks ? bp network. at first, the structure and algorithms of bp network are deeply researched, the ralations between momentum factor and convergence speed 、 convergence accuracy are revealed and a kind of improved bp algorithm is presented. then the identification method based on bp network with adaptive learning rate is studied and the simulaton indicates it can adaptively track the plant

    本課題主要針對前向神經網路? ? bp網路理論與控制器設計進行研究。首先重點對bp網路的結構和學習演算法進行了深入研究，揭示了動量因子與網路收斂速度、收斂精度之間的關系，並提出了一種改進的演算法。然後研究了採用自適應學習率bp網路的辨識方法，模擬說明其可以自適應地跟蹤辨識被控對象。
  15. This paper introduced wave impedances and genetic algorithms " research actuality, genetic algorithms " theory elements, and brought forward wave impedances that had been introduced from the genetic algorithms based on discussed algorithm ' s convergence, expounded wave impedances mixed inversion elements based on genetic algorithms

    本文在介紹了波阻抗反演和遺傳演算法的研究現狀，並介紹了遺傳演算法的理論基礎，討論了演算法收斂性的基礎上，提出了將遺傳演算法引入波阻抗反演，闡述了基於遺傳演算法的波阻抗混合反演原理。
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