non-negativity
英 [ˈnəʊn ˌneɡəˈtɪvəti]
美 [ˈnoʊn ˌneɡəˈtɪvəti]
网络 非负性; 非负数性; 非负值; 非负數
双语例句
- Mathematical analyses of the model equations with regard to invariance of non-negativity, nature of equilibria and global stability are analyzed.
利用负散度和不可约合作（竞争）系统的单调性质，分别研究二维和三维合作（竞争）系统的全局渐近稳定性。 - A novel iterative algorithm, least-squares with non-negativity constraints ( LSNC), was developed for reconstructing chemical concentration distributions using the OP-FTIR system.
发展了经典迭代算法&约束非负线性最小二乘法（LSNC），在OP-FTIR／CT重构体系中的应用。 - Non-negative matrix factorization ( NMF) has been proposed for multivariate data analysis, with non-negativity constraints.
非负矩阵因子分解（non-negativeMatrixFactorization，NMF）是对非负数据处理的一种多元统计分析方法。 - Model free methods, which based on general assumptions such as non-negativity of spectra and concentration profiles, show advantageous to this reaction.
软模型法由于其不是基于反应模型，而是建立在一些更加普遍的假设条件之上，如光谱和浓度的非负性等，因此更适合于机理复杂的反应动力学过程。 - In many blind image restoration algorithms, non-negativity and support constraints recursive inverse filtering ( NAS-RIF) have better effects, but the restoration result is badly worsen and the application is minimized because of the noise amplification.
在诸多的盲恢复算法中，非负有限支撑限制递归法（NAS-RIF）可以取得较好的恢复效果，但其对高频噪声的放大严重地影响了恢复效果和具体应用范围。 - The second-order version ensuring the non-negativity of water height is also proved, which allows one to deal with the problems including dry zones.
且已证明所给的二阶精度的求解格式保持水深的非负性，这一特性使其能够较好的处理干河床问题。 - The non-negativity constraints lead to sparse, parts-based representations which can be more robust than non-sparse, global features.
而非负的这个限制导致了稀疏、基于局部的表达，这比稠密、全局的特征鲁棒性更好。 - The non-negativity and boundedness of the solutions were studied, the parameter conditions for nine equilibria and their stabilities was studied.
本文研究了该系统解的非负性、有界性。出现九个平衡点的参数条件，分析了平衡点的稳定性。 - First of all, we transform the Euclidean distance model into a sequence of least squares problems, from the non-negativity constrained least squares 'KKT conditions we have a linear complementarity problem ( LCP), and then a new algorithm for NMF based on LCP is proposed.
首先我们把欧氏距离模型转化为序列非负最小二乘问题，然后根据非负最小二乘问题的KKT条件转化为线性互补问题，基于线性互补问题我们提出了一种NMF算法。 - We express the non-negativity constraints using a wide class of loss ( cost) functions, which leads to an extended class of multiplicative algorithms with regularization.
其中非负性限制可以通过使用一类广泛的损失（代价）函数获得非常有效的解决问题的算法。这类方法被称为非负矩阵分解（NMF）。 - And the natural data non-negativity is also preserved.
同时，原始数据的非负特性也被保留。