The analytical sensitivity analysis of TEM and CCT to network structure and parameters is also realized for the first time.
同时，还首次实现了暂态能量裕度和临界切除时间对网络结构和参数的解析灵敏度分析。
This variation has infinite solution. It is only applicable in the invariant state of ventilation network structure and parameters.
这种变换存在着解的无穷性，并且仅适用于通风网路的结构和参数不变的状态。
The hypercube and its variations are a kind of interconnected networks model with better structure properties and network parameters, so it is favorite in research of interconnection.
超立方体及其变体是一类具有良好的拓扑性质和网络参数的互连网络模型，所以关于它们的研究与应用在互连网络的研究中备受青睐。
In the modeling of the structure, the wavelet probabilistic neural network was used to recognize the control chart patterns and estimate the abnormal patterns parameters.
在模型构造中，采用小波概率神经网络进行控制图的模式识别和控制图异常模式的参数估计。
Evolving fuzzy neural network is a particular type neural network, which evolves both its structure and parameters to accommodate new coming data.
进化式模糊神经网络是一个特殊类型的神经网络，它能通过进化其结构和参数来容纳新的数据。
Oil-gas data of Daqing is used to build network model. The parameters of network structure are optimized, and the cluster analysis of input sample is made.
采用大庆的油气层数据建立网络模型，对网络结构的参数进行了优化并对输入样本进行了聚类分析。
In this paper, the principle of nonlinear correction of data by using RBF neural network, the structure of neural network and the determination method of parameters are described.
介绍了利用RBF神经网络进行数据非线性校正的原理以及RBF神经网络结构和参数的确定方法。
In this paper, the blasting design was introduced, including the layout of charged Chambers, the selection of blasting parameters, charge weight, charging structure and priming network.
本文介绍了爆破方案，包括药室布置、爆破参数选择、药量及装药结构、起爆网路等有关技术。
On the basis of establishing the dynamic model of the system, a 2-port network structure demonstrated with impedance matrix is discussed and the related network performance parameters are deduced.
在建立了该系统的动力学模型的基础上，讨论了以阻抗矩阵表示的二端口网络结构，稚导了相应的网络特性参数。
A novel algorithm for optimizing the structure and parameters of Direction of Arrival (DOA) estimation model based on radial basis function neural network is presented.
提出一种优化径向基函数神经网络来波方位(DOA)估计模型结构和参数的方法。
With the accumulated and improved training samples, it automatically modifies the parameters of network structure and probability distribution.
该模型还可以通过不断积累完善训练样本，自动修正网络结构参数和概率分布参数。
The structure of ANFIS is proposed. Then a mixed learning arithmetic based on back promulgate and least-square arithmetic is presented to modify the network parameters.
给出了该自适应网络的结构，在此基础上给出了网络权值的修正算法，即综合最陡下降法和最小二乘法得到的一种混合学习算法。
The structure of ANFIS is proposed. Then a mixed learning arithmetic based on back promulgate and least-square arithmetic is presented to modify the network parameters.
给出了该自适应网络的结构，在此基础上给出了网络权值的修正算法，即综合最陡下降法和最小二乘法得到的一种混合学习算法。
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