basis function 中文意思是什麼
basis function
解釋
基底函數-
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。 -
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 -
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。 -
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。 -
Rather, the coefficient ratios between certain basis function are kept fixed at predetermined value.
更確切地說：一定基函數之間的系數的比值保持固定在預定值。 -
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 -
The rao - wilton - glisson basis function based on triangular patches is used in the moment method. a junction basis function based on triangular patches is adopted to deal with the key problem of the junction between the wire and patches
在使用矩量法的過程中，採用基於三角面元的rwg電流基函數；對于線天線和面元間的連接這個關鍵問題，採用了一種連接處基函數。 -
Based on unsupervised learning, sparse coding is suitable to describe images with non - gaussian distribution and can get rid of the high order redundancy among the image pixels. since the basis function of sparse coding has build - in clustering property, it increases the inter - class variations of the features
稀疏編碼是一種基於非監督學習的演算法，它適合描述具有非高斯分佈的數據對象，能夠有效地消除圖像象素點之間的冗餘，並具有內在的聚類特性。 -
Based on the clustering property of the basis function of sparse coding, a basis function initialization method using fuzzy c mean algorithm is proposed to help the energy function of sparse coding to converge to a better local minimum for recognition. experimental results show that the classification and the sparseness of the features are both improved
經過模糊c均值聚類初始化后的基函數能夠讓稀疏編碼的能量函數收斂到一個更有利於識別的局部最小點，試驗結果表明特徵的分類性和稀疏性都得到了提高。 -
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。 -
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。 -
For real world implementation of wavelet theory, we mainly focus on the selection of suitable wavelet bases and related algorithm applied in the following different aspects : in this paper, the selection of wavelet basis function is presented in detail through the investigation of traditional selection of wavelet basis and the theory of lifting scheme, an adaptive wavelet transform is put forward, and the adaptation is come from adaptive choosing between a class of linear predictors within the lifting framework according to the local gradient of the signal. we investigate the central issues such as the structure of adaptive frame and the calculation of corresponding wavelet basis function
對于小波的應用性研究，針對實際應用，主要對其基函數選取及相關的應用演算法進行了詳細探討，主要工作內容包括下面幾個方面：在論文中，首先對基函數的選取進行了詳細的研究，通過對經典的小波函數選取方法的研究，並在對經典小波變換和提升框架的基礎理論上，提出了利用提升框架並根據信號的局部特徵自適應選取小波基，探討了自適應框架的結構以及相應的小波基函數的計算。 -
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。 -
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。 -
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。 -
An indirect self - adaptive fuzzy - neural network controller ( fnnc ) has been proposed with its parameters and the structure tuned simultaneously by ga in virtue of the powerful optimization property of ga. the structure of the controller is based on the radical basis function ( rbf ) neural network with gaussian membership functions. the performance of the proposed fnnc is compared with a conventional fuzzy - pid controller and the simulation results show that the fnnc presents encouraging advantages
針對神經網路採用一維反向傳播訓練演算法速度較慢且易於陷入局部極小點的不足，設計了一種間接自校正模糊神經網路控制系統，利用遺傳演算法（ ca ）對隸屬度函數的結構和參數進行優化，模擬比較表明該控制比模糊pid控制具有更優的性能。 -
A pcc based stepping motor driven dual control governor for kaplan turbine is presented in this paper. the governor adds the function of adaptive control of blades and radius basis function cam network based on the current pcc based stepping motor driven single control governor
該調速器在當前pcc步進式水輪機單調整調速器的基礎上引入了槳葉自適應控制和基於rbf網路的協聯裝置，可定期對轉槳式水輪機協聯關系進行自校正，保證水輪機始終運行在較高效率區。 -
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 -
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 -
Miss distance parameters are estimated by matching pursuit algorithm to search the basis function which best matches the echo signal
通過匹配追蹤演算法尋找與回波信號最匹配的基函數來確定脫靶量參數。
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