approximation system
英 [əˌprɒksɪˈmeɪʃn ˈsɪstəm]
美 [əˌprɑːksɪˈmeɪʃn ˈsɪstəm]
网络 近似系统
双语例句
- A binary tree-type hierarchical fuzzy system was developed to simplify analysis of large fuzzy systems and the universal approximation of the system is also analyzed.
为解决多变量模糊系统中的“维数灾”问题，该文提出了一般二叉树型分层模糊系统，简化了多输入复杂模糊系统的分析，并研究了它的通用逼近性。 - And the equilibrium approximation where the system sets up a very fast equilibrium and you're allowed to use thermodynamics to help you out in solving the problem.
平衡近似是，系统建立起一个快速的平衡，你可以用热力学，帮你解决这个问题。 - Firstly, by computing the eigenvalues of linear approximation system, a critical condition which ensures odd point O is local center is obtained.
首先通过计算线性近似系统特征值的方法，给出了奇点O为局部中心点的判定条件。 - With this formula, the time-domain optimal approximation for large-scale system simplification can be improved considerably, i.e. one needs only solve a parameter optimization problem instead of a functional problem.
利用该关系式可以改进大系统模型简化的时域最优逼近法，将泛函求极值的问题转化为参数优化的问题，有可能使问题的解决简单化。 - A Lower Bound of the Order for H_ ∞ Approximation System
H∞逼近系统阶数的一个下界 - Hence the complexity approximation measurement system of the professional discipline and its corresponding professional labor complexity approximation measurement system are established.
并由此建立了专业学科难度模糊谱系和相应的专业劳动复杂度模糊谱系。 - The best approximation on Walsh system
Walsh系的最佳逼近 - The relationship between H ∞ error bound and the minimal order of the approximation system of the H ∞ model approximation problems is considered.
文章研究了H∞模型降阶问题中H∞误差界与逼近系统最小阶数之间的关系。 - According to the additive fuzzy system theory, a new load forecasting method is proposed in which using the the learning method combined clustering algorithm with supervised learning the function approximation of the system is improved.
该文依据可加性模糊系统理论，提出了一种新的负荷预测方法，利用聚类方法与有监督学习相结合的训练方法，提高了系统的函数逼近能力。 - A new method of optimal time-domain approximation for large-scale system model reduction
大系统模型简化的一种新的时域最优逼近法 - In this paper, relation of language environment and language understanding is discussed, and some conception about semantic approximation and system language environment is introduced.
本文对语言理解和语境的关系进行了讨论，并引进了语义逼近和系统语境等概念。 - Approximation of Dynamic System by Recurrent Neural Network
基于递归神经元网络的动态系统逼近研究 - This paper presents a method which introduces information entropy of information theory and derives probability distribution of approximation independent particle system under equilibrium by using of maximum information entropy principle.
本文提出一个导出近独立粒子系统的统计分布的方法，引入信息论中的信息熵，用最大信息熵原理推出近独立粒子系统平衡态下的分布几率。 - In addition, the influence of approximation error and system initial error on the performance of the series-parallel fuzzy system is also investigated.
此外还研究了系统逼近误差和初始状态误差对串并联模糊系统性能的影响，指出：只要模糊系统逼近实际系统足够好，即使两者之间存在初始状态误差，模糊系统仍能良好工作。 - This thesis study the space surface model and approximation system of the blade of steam turbine.
本文对汽轮机叶片空间型面拟合和逼近系统进行了较系统的研究。 - This paper introduces the B spline wavelet scaling function into fractal function approximation system and proposes a fractal function approximation algorithm based on wavelets. The algorithm fully exploits the consistency between the fractal and scaling functions in multi scale and multi resolution.
本文在分形函数逼近系统中引入基数B样条小波尺度函数，提出基于小波的分形函数逼近算法，该算法可充分利用尺度函数和分形函数在多尺度和多分辨性上的一致性。 - The Method in Approximation of Continue System
连续系统数学模型的一种近似方法 - Using T-S fuzzy model as an approximation to nonlinear system, the nonlinear system is described by the combination of local linear models. The pole placement design method is adopted to guarantee satisfactory control performance for each local linear system.
采用T-S模糊模型逼近非线性系统，将非线性系统描述为多个局部线性系统的组合，采用极点配置的方法对每一局部线性系统进行设计，保证了局部线性系统的性能指标。 - Information entropy and probability distribution of approximation independent particle system
信息熵与近独立粒子分布 - As a kind of efficient approximation to nonlinear system, bilinear models have a widely applications in many engineer fields.
由于能对非线性系统很好的近似，双线性模型在许多工程领域已得到了广泛的应用。 - Afterwards, studied how to form neuro-fuzzy, it is testified that the fuzzy neural network is a all-purpose approximation for nonlinear system.
然后研究了模糊神经网络的构成，并且证明了基于高斯基的模糊神经网络是一万能逼近器。 - When the system is nonlinear, EKF does linear approximation for nonlinear system using first order Taylor series expansion and it can provide a suboptimal estimation.
当系统是非线性时，EKF可以利用非线性函数的一阶泰勒级数展开对其进行线性近似，提供一种次优估计。 - And the algorithm is applied to Hermite function approximation, dynamic system identification and Mackey-Glass chaotic time-series prediction to confirm the effectiveness.
进而，通过Hermite函数逼近、非线性动态系统辨识和Mackey-Glass混沌时间序列预测等仿真研究，验证该算法的有效性。 - The MIMO-OFDM system has approximation system capacity limit and good resistance to decline characteristics, so it will be the core technology of the next generation network.
因此，基于OFDM的MIMO系统具有逼近极限的系统容量和良好的抗衰落特性，可以预见，它将是下一代网络采用的核心技术。 - Based on this reason, in this thesis, we manage to extend neural network from continuous system approximation to hybrid system approximation: it is shown that the proposed progressive learning machine can approximate any hybrid system.
本文将基于神经网络的系统辨识从连续系统推广到混合系统，提出了通用的非线性混合系统辨识算法&渐进学习机。 - Although for financial time series forecasting methods, as a result of neural network function as a universal approximator of arbitrary precision can be any non-linear function approximation and dynamic system, is a highly non-linear a powerful tool for object modeling.
虽然用于金融时间序列的预测方法很多，但由于神经网络作为一种通用函数逼近器可以以任意精度近似任意的非线性函数和动态系统，是高度非线性对象建模的有力工具。 - Experimental results indicate that the proposed method have the advantages at approximation accuracy, system stability and design complexity over Pade approximation. 2.
实验结果表明，所提出的逼近方法在逼近精度、系统稳定性、设计复杂度等方面比Pade逼近法更具优势。 - Fuzzy TS system is a linear form, from the aspect of the numerical approximation, the system is the weight summation of several piecewise linear models, in other words, it approximates the original model with linear models in the local area.
TS模糊系统是线性形式，从数值逼近的角度出发，该系统是若干个分片线性模型的加权求和，即在局部区域用线性模型近似原模型。 - Semidefinite programming is a branch of convex optimization problem. Important applications of semidefinite programming exist in combinatorial optimization, approximation theory, system and control theory, and mechanical and electrical engineering.
半定规划是凸规划的一个重要分支，并且半定规划在组合优化、逼近理论、系统控制理论、机械及电子工程中有着广泛的应用。