radial basis function network 中文意思是什麼

radial basis function network 解釋
半徑式函數網路
  • 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】...
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  1. 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
  2. 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
  3. 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。
  4. 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。
  5. 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。
  6. 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
  7. 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
  8. 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。
  9. 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。
  10. 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
  11. 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
  12. Radial basis function based probabilistic neural network in arrhythmia classification

    基於徑向基函數概率神經網路的心律失常自動識別
  13. 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
  14. Three types of artificial neural networks, namely radial basis function network, feedforward network, stochastic network, and their application in the analysis of electromagnetic stop band structure in coplanar waveguide have been discussed

    本文研究了以下三種人工神經網路：徑向基函數網路、前向網路、隨機網路，並用於分析共面波導中的電磁阻帶結構。
  15. Radial basis function network model for dam deformation prediction

    大壩變形預測的徑向基函數網路模型
  16. Radial basis function network

    半徑式函數網路
  17. Research on emitter recognition based on improved radial basis function network

    基於改進的徑向基函數神經網路的輻射源演算法研究
  18. In this dissertation, base on the review and analysis of current mainstream algorithms and techniques, we build up whole rtr system, and study some efficient recognition methods for different radar characters. the major research work and contributions in this dissertation are summarized as below : 1. summarized current popular pattern recognition methods, this dissertation researched in the algorithms and performances of nearest neighbor ( nn ) classifier, multi - layer perceptron and rbfn ( radial basis function network )

    本文在總結當前主流雷達目標識別演算法的基礎上，建立起基於gbr的雷達目標識別系統，並且對彈道導彈的各種特識別方法進行了研究，主要進行的工作和創新有: 1 .研究和總結了當前常用的分類識別方法，針對雷達目標識別的特點，對近鄰分類器、多層感知器和徑向基函數網路（ rbfn ）分類器的演算法和性能進行了研究。
  19. When we solve irregular problem, a trial solution of the differential equation is written as a sum of two parts : a radial basis function network satisfies the boundary conditions and svr is trained for the inner points

    在求解不規則邊界邊值問題時，演算法基於兩種不同學習方法的協作：徑向基函數學習網路（簡稱rbf ）用以滿足邊值條件（ bc ' s ） ，支持向量機回歸用於逼近域內元素。
  20. This dissertation analyzed the quantitative evaluation problem of lma and lf and inquired into the importance of axial testing resolution in the field of the wire rope defects quantitative evaluation. this dissertation put forward a novel method of the lf quantitative evaluation based on the radial basis function network

    武漢理工大學博士學位論文分析了鋼絲繩lm人和lf的定量描述問題，討論了軸向檢測解析度在缺陷定量分析中的重要性，提出了一種基於徑向基網路的局部缺陷定量逼近新方法。
分享友人
分享到 Line

分享到臉書