徑向基函數法 的英文怎麼說

中文拼音 [jìngxiàngjīhánshǔfǎ]
徑向基函數法 英文
radial basis function
  • 徑 : Ⅰ名詞1 （狹窄的道路; 小路） footpath; path; track 2 （達到目的的方法） way; means 3 （直徑的簡稱...
  • 函 : 名詞1. [書面語] （匣; 封套） case; envelope 2. （信件） letter 3. （姓氏） a surname
  • 數 : 數副詞（屢次） frequently; repeatedly
  • 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...
  • 函數 : [數學] function函數計算機 function computer; 函數計算器 function calculator; 函數運算 functional operation
  1. In algorithms, classification algorithms are divided into two cases : one for known statistical distribution model and the other for unknown statistical distribution model. four classification algorithms, the bata - prime statistic model fusing quadratic gamma classifier, based on sar image rcs reconstruction and space position mode, on the mixed double hint layers rbfn ( mdhrbfn ) model and on the self - adapt fuzzy rbfn ( afrbfn ) model, are derived. the problems, including how to further improving the class ratio of the bayes decision, decreasing the dependence on the statistical model and directly providing the adapted algorithm with samples, are solved

    提出了基於徑向基函數神經網路（ rbfn ）的雙隱層混合網路（ mdhrbfn ）模型，解決了標準神經網路在具體sar圖像地物分類中分類類別數目不夠和分類精度差的問題；提出了基於模糊推理系統的自適應模糊rbfn分類（ afrbfn ）模型，兼顧通用性與精確性，增強人機交互能力，進一步提高了演算法分類率。
  2. 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。
  3. Meshless method with radial basis functions for helmholtz problem

    問題具徑向基函數的無網格法
  4. Third, based on the non - linearity feature of the system, the lmf algorithm is given by using the non - linearity least square optimal method. the simulating results show that the accuracy of the algorithm approaches the cramer - rao - bound. finally, the radial based function network localization algorithm is present for bistatic sonar

    為了克服lmf演算法在進行迭代時依賴于初始值的缺點，根據人工神經網路在求解非線性問題方面的特點，提出了用徑向基函數網路方法來進行雙基地聲吶定位的優化演算法。
  5. This article describes the development process of surrogate models and introduces some experiment design methods and approximation approaches that can be used for a mdo surrogate model, they are full factorial experiment design, orthogonal experiment design, uniform experiment design, central - composite experiment design, and polynomial response surface method, kriging method, radial basis function method and artificial neural network

    為此本文中分別介紹了正交試驗，均勻試驗以及中心復合試驗等幾種試驗設計方法，以及多項式響應面， kriging ，和徑向基函數等幾種數學近似方法。並且通過構造描述機翼展向升力分佈的代理模型，對上述幾種方法作了對比分析。
  6. Aiming at the study actuality of fan performance monitoring system and analysis of fan performance curve changes affected by inlet - box and the different fixed - angles of guide blades in the course of installation, a fan flow monitoring model based on rbfnn in whole flow zone was established in this thesis. in the model, the method of no throttle and fan performance curve were used as basis. and on the basis of that model, fan performance curves of 4 - 73no. 8d were approached with experimental data of different speed, different opening - angles of guide blade and different resistance of pipeline, the precision and the error law of model were studied

    本文針對電站風機性能監測系統研究較少的現狀，在實驗的基礎上分析了現場加裝進氣箱和由於安裝造成的導流器葉片開度不一致對風機性能曲線的影響，並在此基礎上採用無節流方法測量流量，以風機調節性能曲線為依據，建立了基於徑向基函數（ rbf ）神經網路的風機流量全程監測模型；以實驗室4 - 73no . 8d離心風機為研究對象，探討了rbf神經網路差壓模型在變轉速、變導流器開度和變管網阻力等工況下的應用精度和誤差分佈規律；最後用visualc + +語言開發了風機性能在線監測系統。
  7. This paper combines the critical rainfall in the typical areas of yunnan province, and carries on the analysis to the critical rainfall situation, and carries on a research to the variety regulation of the critical rainfall of the mountain flood disasters in yunnan province by the application of spacial variogram theory, and the kringing of spacial gridding methods, the inverse distance to a power method, the radial basis function method, and then draws up each isoline maps

    採用空間變異理論，應用克里金空間插值分析法、反距離加權插值法、徑向基函數插值法對雲南省山洪災害典型區的臨界雨量的情況進行對比分析，對其變化規律進行研究，並繪制相應等值線圖。
  8. Forecasting method of chaotic time series based on rbf

    基於徑向基函數的海雜波時間序列預測方法
  9. Applies the strict mathematical reasoning, translates the problem of relearning algorithm of redial basis function neural network into the problem additional operation of matrix operation

    應用嚴格的數學推理方法，將徑向基函數神經網路的再學習問題轉化為矩陣求逆的附加運算。
  10. Proposed an improved algorithm for traditional radial basis functions used in image morphing technology. based on polynomial, the new basis function is continuous at subsections junctions, and introduced the direction - correlating control function. this algorithm keeps the boundaries of local morphed image subtle, and gets rid of some unreasonable warping resulted from isotropy with traditional radial basis functions. experimental results show that good local morphing results can be achieved

    針對傳統的圖像變形技術中所採用的徑向基函數，應用在局部變形中的不足提出了一種改進方法:構造了基於多項式的分段連續基函數，並在此基礎上引入了與方向相關的控制參數.該方法在圖像局部變形的邊界處具有光滑的過渡，同時克服了傳統徑向基函數的各項同性所導致的不合理變形現象.實驗表明，該方法具有良好的局部變形效果
  11. Radbas function neural network method makes use of self - learning function of neural network and automatic adjusted tentatively value, so self - adapted capacity of the algorithms was strength

    徑向基函數神經網路法利用了神經網路的自學習功能，自動調整網路權值，所以其演算法自適應能力很強。
  12. Stock price prediction based on radial basis function neural network

    基於改進排序遺傳演算法的徑向基函數神經網路色譜峰解析
  13. Aiming at the control feature of large ship, the authors designed a 2 - rank derivative multi - step neural network predictive model and the algorithm of the large delay ship ' s course, and presented a fuzzy control autopilot scheme based on the model with rbf neural network and fcmac controller, it solved problems of model online identification and controller online design in traditional adaptive control, so that the high precision output follow - up control of large ship with large delay and uncertain nonlinear features can be realized

    摘要針對大型船舶控制特性，設計了船舶航向的神經網路二階導數多步預測模型及其辨識和預測演算法，提出基於徑向基函數神經網路多步預測模型和模糊小腦模型關節神經網路控制器的大時滯船舶航向模糊控制自動舵方案，解決傳統自適應控制中模型的在線辨識和控制器的在線設計問題，以達到對具有大時滯、不確定非線性特性的大型船舶實現高精度輸出跟蹤控制。
  14. An identification algorithm for vibrating dynamic characterization by using rbf ( radial basis function ) artificial neural network is developed for multi - degree of freedom systems

    基於徑向基函數（ rbf ）神經網路，提出了水輪機振動荷載參數識別方法。
  15. The difference between bp networks and radial basis function networks is pointed out, and we discuss the decision of two important parameters of radial basis function networks. also, we improved on hcm algorithm which is often used to forecast by combining input vector with output vector and getting extended vector when we decide key parameter of radial basis function networks - - - - center vector

    文中指出了bp網路與徑向基函數網路的區別，討論了徑向基函數網路的兩個重要參數的設定。在確定徑向基函數網路的關鍵參數? ?中心向量時，通過結合輸入輸出向量得到擴展向量的方式改進了徑向基函數網路用於預測中常用的hcm演算法。
  16. Prediction of stock market data based on improved algorithm of radial basis function network

    基於徑向基函數網路的改進演算法的股市數據預測
  17. Firstly, the basic theories of artificial neural network are introduced, including neural cell model, the basic structure of artificial neural network and the study methods. the essential of bp network with function approximation and rbf network and the performance of technology are analyzed. the algorithm of bp and rbf networks are also studied

    論文首先闡述了神經網路的基本理論，包括神經元模型，神經網路的基本結構和神經網路的學習方法;分析了具有函數逼近能力的bp網路和徑向基函數（ rbf ）網路實質、技術實現問題，並研究了bp和rbf網路學習演算法。
  18. An improved clustering method is provided which is based on radial basis function neural network, and applied rbf neural network into the speech sounds recognition domain, and a speaker - independent isolated words speech recognition system is established

    摘要提出一種基於徑向基函數神經網路的改進聚類方法，並將此改進的神經網路應用於語音識別領域，建立一個非特定人的孤立詞語音識別系統。
  19. For h - d scattered data, local weighted least - squares fitting ( llsf ) methods for approximation and interpolation are respectively put forward and the latter is got by adjusting weight function in the former case, and the interpolating method is also used to construct hyper - surface models with the radial function. the problem of choosing weight function during local least square approximation is discussed and two good weight functions are given : one with a parameter, the other with no parameter. based on them

    二、對非規則區域上分佈的h - d數據，提出了散亂數據超曲面擬合的局部最小二乘逼近法。通過對局部最小二乘逼近的權因子作適當的改進，得到了擬合精度較高的局部最小二乘插值法，還用徑向基函數構造了超曲面模型，找到了一種性質好帶參數的權函數以及另一種有著普遍精度性質的不含參數的權函數，獲得了較好的逼近效果。
  20. The meshless method based on radial basis functions

    基於徑向基函數的無網格方法
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