丈中利用双梯度算法对自然图像的基向量进行迭代学习。
The basis vectors of the natural images were obtained by using fast conjugate gradient algorithm.
大多数天然物质表面的光谱反射率曲线比较平滑，可视为几个基向量的线性组合。
Since the vast majority of reflectance spectra for surfaces are smooth functions, each reflectance spectrum can be represented as the weighted sum of basis functions.
研究了线性无关的向量组在同一级幂零指数上的线性关系，得到幂零指数在线性空间的基向量上的分布规律。
In this paper, the author researches the linear relation defined by a same nilpotent index in the independent vectors, obtains the distribution rule of the nilpotent indices on an arbitrary basis.
该方法将图像投影到SVDQ的各个正交基上，得到投影系数向量。将此向量作为图像的代数特征并用于彩色图像识别中。
Firstly, the image is projected on to the orthogonal basis of SVDQ, then the projection coefficient vector is used as algebraic feature of image and applied to recognition.
提出了欧拉向量、欧拉方向余弦矩阵、欧拉基变换方向余弦矩阵等概念，并给出相应的公式。
Some conceptions and the correspoinding equation is put forward, such as Euler vector, Euler orientation cosine matrix and Euler switch orientation cosine matrix.
该方法首先在不知道任何基阵方向向量先验知识的情况下，利用信号的多普勒信息估计波束形成的权矢量。
The weight vector of beamforming is estimated by Doppler information of the signal first, then it is approximated by RBFNN to carry out the blind optimizing beamforming.
在实际工业数据上进行的实验结果表明，支持向量机模型对丙酮纯度具有良好的预测效果，性能优于反向传播神经网络和径向基网络模型。
The experimental results on the real industrial data demonstrate that the model based on SVM achieves good performance and has less prediction errors than those of BPNN and RBFNN models.
本文研究了多层感知器、径向基函数网络、学习向量量化网络和自组织特征映射网络等四种神经网络在回转窑火焰图像分割中的应用。
In this paper, four neural networks, i. e. multi layer perception, radial basis function, learning vector quantization and self organizing feature mapping, are used to segment the flame image.
针对文本自动分类问题，提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
Aimed at the problems of document automatic classification, a classification method is proposed based on fuzzy vector space model and RBF network.
引入多个期货合约收益率向量代替单个合约的收益率，推导出多种期货合约对一种现货进行套期保值模型，解决了交叉套期保值的基差风险分散问题。
We introduce the futures return vector to replace the single future return, deduce the multiple futures to single cash hedge model to realize the dispersion of basis risk.
文本提出了一种基于模糊向量空间模型和径向基函数网络的分类方法。
A classification method based on fuzzy vector space model and radial basis function network is presented in this paper.
并对该特征向量进行对数归一化，将归一化的特征向量作为径向基函数（RBF）神经网络的输入，在此基础上进行识别，达到较好的识别效果。
The normalized vector is used as the input of RBF NN, and target recognition is performed based on this, which leads to a satisfactory recognition result.
首先分析了支持向量机原理，随后引入一种改进的径向基核函数，在此基础上，提出了一种改进核函数的SVM模式分类方法。
The theory of SVM is studied at first, then an ameliorated RBF kernel function is presented, based on which an improved kernel function pattern classification method of SVM is put forward.
针对多输入-多输出(MIMO)非线性系统基于模糊基函数向量提出了一种新的自适应控制方法。
In this paper, a novel adaptive control approach based on fuzzy basis function vector is presented for Multi input and Multi output (MIMO) nonlinear systems.
应用向量空间的基变换，给出了一种求有穷数列通项公式的新方法。
This paper applies the base transformation invertor space and gives a new solution to the common item equation of finite series.
在引入重叠基矩阵的基础上，提出了加窗全相位等效f IR滤波器系数向量的计算通式。
Based on introducing overlapping base matrix, the general calculating formula for the coefficient vector of windowed all-phase equivalent FIR filter is proposed.
求出使最优解或最优基保持最优的消耗系数矩阵中列向量和行向量的可变范围。
The variable ranges of vectors in consumption coefficient matrix for which the optimal solution or optimal basis remain invariable are determined.
对待识别音频，分别用已知说话人的时域基函数组计算各自的系数向量，并计算系数向量各分量之间的互信息。
To recognize a test speech signal, all sets of basis functions are used to produe the coefficient vectors, and the mutual information among the elements of the coefficient vectors are calculated.
该FFT算法适合于维数为任意整数的情况，当维数为1时，算法退化为著名的频域抽取向量基2 FFT算法。
This FFT algorithm can be used with arbitrary integer dimensions. For 1-dimension, the algorithm will be simplified as the well-known DIF vector radix 2 FFT.
计算量比较结果显示，频域抽取多维向量基FFT算法比多维分离式FFT算法计算量低。
The comparison results show that, compared with multi-dimensional separable FFT, the DIF multi-dimensional vector radix FFT algorithm has lower calculation load.
其次论证了支持向量基(SVM)在径流预报中的应用可能性，提出了该方法的应用前景。
Secondly, it is demonstrated that the principle of SVM and its application prospect in runoff forecasting.
讨论了线性规划模型中，消耗系数矩阵a中某个基变量或某个约束方程的系数向量变化以及增减约束方程时，对最优基、最优解、目标函数值和影子价格的影响。
The paper discuss the effect exerting on objective function, optimum solution and shadow price in LP when consumption coefficient matrix a change and a inequality constraint is increased or decreased.
将信号样本进行小波包变换，并选择最好基，计算各子频带的平均能量，得到14维特征向量。
Signal sample is analyzed through wavelet packet theory, best base is chose, and the average energy of every sub frequency band is calculated, at last 14 links of characteristic vectors are get.
通过对基于多项式核函数和径向基核函数的支持向量机分类器进行比较，并且得到三种肝脏分类的识别率。
The classification accuracy of SVM based on polynomial and radial basis function kernel were compared, and the recognition accuracy of the three categories were obtained.
该方法首先对地球物理和地球化学等网格数据进行二维矩阵的奇异值分解，之后用左特征向量矩阵与右特征向量矩阵的直积构造一个正交完备基。
The MSVD method constructs a self-contained orthogonal basis using the outer product of left and right eigenvector matrixes decomposed from 2D geochemical or geophysical maps.
给出了频域抽取二维向量基快速傅里叶变换算法，针对二维频域信号采用频域抽取方法，导出了该快速算法蝶形运算的一般形式并给出了算法实现流程图。
In accordance with the requirements of high speed digital signal processing, the algorithm of radix-4 implemented with FPGA and the integrated architecture and butterfly unit are analyzed.
给出了频域抽取二维向量基快速傅里叶变换算法，针对二维频域信号采用频域抽取方法，导出了该快速算法蝶形运算的一般形式并给出了算法实现流程图。
In accordance with the requirements of high speed digital signal processing, the algorithm of radix-4 implemented with FPGA and the integrated architecture and butterfly unit are analyzed.
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