radial basis function 中文意思是什麼

radial basis function 解釋
徑向基函數法
  • radial : adj 1 光線的；光線狀的。2 放射的，輻射（狀）的。3 鐳的。4 【數學】半徑的；【物理學】徑向的；【解...
  • basis : n. （pl. bases ）1. 基礎；基底；臺座；【地質學；地理學】坡基。2. 根據，基準。3. 主要成份；主藥。4. 【數學】基。
  • function : n 1 功能，官能，機能，作用。2 〈常 pl 〉職務，職責。3 慶祝儀式；（盛大的）集會，宴會。4 【數學】...
  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. Flood level forecast model for tidal channel based on the radial basis function - artificial neural network

    用徑向基函數神經網路模型預報感潮河段洪水位
  3. Furthermore, due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function, the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn. because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one, the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily

    針對這一問題，文中提出了一種全自適應的不對稱高斯基函數網路（ agbfn ）結構，網路的基函數採用具有不對稱寬度的偽高斯函數，和常規的高斯函數相比，具有更大的可變性和延展性，從而使得隱層神經元在函數近似上具有更高的適應性，提高了神經網路的學習能力。
  4. Finally radial basis function ( rbf ) is adopted to identify the moment coefficient

    最後還採用徑向基函數神經網路識別了力矩系數。
  5. The model of tribology based on radial basis function artificial neural network

    徑向基神經網路的摩擦學模型
  6. In macroscopic aspect, it is taken as an example about how to model the relationship between the mix proportion of raw materials and the compressive strength of concrete using radial basis function ( rbf ) neural networks, which can achieve a global minimum

    宏觀上，以混凝土強度為例，研究如何利用神經網路建立原材料配方與混凝土強度的關系模型。介紹可以全局收斂的徑向基函數（ radialbasisfunction ， rbf ）神經網路。
  7. 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。
  8. Radial basis function network constructs many basis functions, according to the distances between the unknown style and the known styles, to generate the function value of the unknown style

    徑向基函數網路利用未知樣本與已知樣本間的距離構建多個基函數得出未知樣本處的函數值。
  9. Icbp is a generalization to circular back - propagation ( cbp ) network. cbp possesses good generalization ability and adaptability compared with the counterpart bp. and in its frame we can construct vector quantification ( vq ) and radial basis function ( rbf ) networks, showing great flexibility

    Icbp是我們對圓形反向傳播網路（ circularbackpropagation ? cbp ）的推廣， cbp不僅具有良好的推廣和自適應能力，而且在其框架下分別構建出矢量量化（ vq ）和rbf網路，展示出了極大的靈活性。
  10. 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。
  11. Energy consumption prediction model based on radial basis function network

    基於徑向基函數網路的能源消費量預測模型
  12. Ann methods are feasible for the verification measurements in nuclear safeguards. experimental data sets have been used to study the performance of neural networks involving radial basis function neural network and generalized regression neural network ( grnn ). the optimization of the parameter spreads have been given and the analysis error of grnn no more than 0. 2 %

    分析結果表明，使用泛化能力較高的混合訓練集訓練神經網路，網路給出的富集度值與標準樣品的標稱值之間的相對差異小於13 % ；使用泛化能力相對較弱的分組訓練集訓練神經網路，網路給出的分析結果的不確定度小於2 % ；使用分組訓練集和廣義回歸神經網路，網路給出的分析結果的不確定度小於0
  13. Based on visual rice growth models ( vrgm ) and with rice tillering as examples, the back - propagation artificial neural networks ( bp ) and radial basis function networks ( rbf ) were established to simulate the rice growth and to compare with statistical model and dynamic model

    3 、在研製可視水稻生長模型的基礎上，進一步利用人工神經網路bp模型和rbf模型，對水稻生長進行了模擬與模擬。並以水稻群體莖蘗動態為例，與水稻群體分蘗的統計模型和動力學模型進行了比較。
  14. Hydrogeological parameter identification based on the radial basis function neural networks

    神經網路的水文地質參數識別
  15. In addition, the paper makes relatively in - depth analyses on the function approximation theory of radial basis function neural networks and the stability of the adaptive controller based on radial basis function neural networks

    此外，本文對徑向基函數神經網路的函數逼近理論以及基於徑向基函數神經網路的自適應控制器的穩定性作了較深入的分析。
  16. The flood and drought in both first stage and second stage of rainy season in fujian province were forecasted by the ways of line regression prediction equation and three kinds of artificial neural network models, the results show : the backpropagation ( bp ), radial basis function ( rbf ) and elman neural network models are much better than line regression prediction equation in historical sample fittings, independent sample test, actual prediction ability

    （ 3 ）運用線性回歸預報方程和三種人工神經網路模型對福建汛期旱澇進行預測的實驗表明： bp 、徑向基（ rbf ）和elman這三種人工神經網路模型在歷史樣本擬合精度上、獨立樣本檢驗結果和網路模型的實際預測能力上都明顯優于傳統的線性回歸方法。
  17. Through study of correlative contents of advanced computer cybernetics, artificial intelligence, the domain knowledge and special crop growth mechanism in greenhouse, we present the system of multi - sensor data fusion ( msdf ) based on radial basis function network ( rbf ) to implement on line detection for nutrient - liquid, which may realize multiple components detection on - line, for example no3 -, cl -, ca2 +, ph, ec, nh4 +, k + and so on. the soft sensor ' s mechanism is introduced to overcome the limitations of sensor ' s manufacturing process. to improve the believe - degree of soft sensor ' s result, we analyze soft sensor ' s result by uncertain inferential capacity and combination rule of evidential theory

    本論文通過對計算機技術、控制理論、人工智慧技術和設施農業領域知識等相關理論的研究，結合對特定溫室蔬菜生長的研究與機理分析，提出了一種基於rbf神經網路的營養液多傳感器數據融合（ msdf ）系統，實現對營養液組分： no _ 3 ~ - 、 cl ~ - 、 ca ~ （ 2 + ） 、 ph 、 ec 、 nh _ 4 ~ +和k ~ +的在線檢測；對于由於目前傳感器製造工藝的限制而不能在線檢測的離子成分如磷酸根和硫酸根，提出了一種基於徑向基函數網路的軟測量機制，可以有效地實現對營養液中磷酸根和硫酸根成分的實時檢測；為了提高軟測量結果的可信度，利用d - s證據理論的不確定推理能力和合成公式，結合領域知識對軟測量結果進行可信度分析。
  18. Design a multivariable adaptive fuzzy controller by fuzzied radial basis function network simplified model

    基於模糊組合變量的自適應加權控制
  19. Also the thesis improves the diagnosis model of fuzzy neural networks, and establishes the composite sub - nets based on rbf ( radial basis function )

    通過改進模糊神經網路診斷模型，建立rbf徑向基函數組合子網路診斷系統，增強對故障分類的能力。
  20. 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
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