Among neuron network models, linear neural network is the basic one.
在众多神经元网络模型中，最基本的是线性元网。
How can we build predictive network models of transcriptional regulation?
我们如何能够构建预测的转录调控网路模型？
A unified set representation for system network models is presented in this paper.
本文对系统网络模型，建立了统一的集合表征。
Such people tend to stand out in network models because of their high level of connectedness.
这些人在社会网络模型中凸显出来是因为他们有很多的联系人。
Symmetry properties are of vital importance for graphs used as interconnection network models.
对称性是图作为网络模型的重要性质。
And introduce the fuzzy neural network models to improve the fuzzy comprehensive evaluation model.
并且引入模糊神经网络算法对模糊综合评判模型进行改进。
BP neutral network is one of the representative neutral network models, it is suitable for classifying.
BP神经网络是一种具有代表性的神经网络模型之一，它适用于信号的分类。
In this paper the network models are used to construct the state-space equation for insect population dynamics.
本文拟通过网络模型着重讨论适应于昆虫种群研究的状态空间方程的建立问题。
As one of the neural network models, BP model, which is a simple and effective algorithm, has been applied widely.
BP模型是目前最为广泛应用的神经网络模型之一，它是一种简单而又非常有效的算法。
Therefore, the negative effects are the powerful supportive verification for hierarchical network models of memory.
因此，否定效应是支持记忆的层次网络模型的有力证据。
Neural network models and an optical implementation of the Perception algorithm for pattern dichotomy are described.
本文阐述了几种神经网络模型和模式两分法中感知算法的一种光学执行过程。
Global asymptotic stability of general recurrent neural network models with S-type distributed delays on infinite intervals.
无限区间上s -分布时滞广义递归神经网络模型概周期解的全局渐近稳定性。
This model is normally more difficult for programmers to work with and is harder to maintain than the hierarchical and network models.
这种模式一般是比较难的程序员一起工作，是难以维持较层次和网络模型。
There are three types of NPD network models: the inner network, the outside network and the combining network or intermediate network.
新产品开发存在三种网络模式：内部网络模式、外部网络模式和中间网络模式，新产品开发是在一个整合资源的网络内进行的。
The paper thesis discusses two types of mainstream P2P network models, and also proposes and improves their resource location schemes.
论文对目前两种主流P 2 P网络模型进行了研究，并提出和改进了这两种主流模型的资源定位方案。
Two kinds of fuzzy neural network models' application to the quantitative analysis in an electronic nose system are put forward and realized.
提出并实现了两种类型的模糊神经网络用于电子鼻系统的定量识别。
Discusses a class of continuously variable network models which are heterogeneously distributed in between scale-free networks and random networks.
讨论了一类度分布在无标度网络和随机网络之间连续可调的网络模型。
In this dissertation, ALM technology and P2P network models are deeply studied and an adaptive network model which supports ALM and P2P is proposed.
本文深入研究了ALM技术和P 2 P网络模型的特点，提出一种同时支持ALM和P 2 P的自适应的网络模型。
A nonlinear internal model control (IMC) strategy based on radial basis function (RBF) network models was proposed for bulk polymerization of styrene.
文中研究基于径向基(RBF)神经网络算法的内模控制策略在苯乙烯本体聚合反应相对分子质量分布控制领域的应用。
The work indicates that people should be very careful when they build neural network models by considering the properties of a biological neural system.
表明人们在参考生物神经系统来建立人工神经网络系统时必须慎重对待生物神经系统的某些特点。
Then the paper analyzes the construction of network models under the condition of grid. Finally, based on these models, we reach a lot of useful conclusions.
然后分析了网络环境下网络模型的建构，基于这些模型我们得出了很多有益的结论。
According to this theory, the meaning construction of language has something to do with network models within the framework of Conceptual Integration theory.
该理论认为，在概念整合理论框架中，语言的意义构建机制与概念网络模型有关。
On the basis of this method, network models for physical networks correspond to mathematical models uniquely when a homology principle of the graph is applied.
在此基础上，对于物理网络，应用图的同调论原理，将网络模型唯一地对应到数学模型。
By using the Neural Network Toolbox (NNT) of MATLAB, BP Artificial Neural Network Models are set up to predict the dry season Runoff in the Lower Yellow River.
本文利用MATLAB软件的神经网络工具箱(NNT)，建立下游枯季径流预测的BP神经网络模型。
Based on the specific geological features of Shaximiao formation, this article used the best subset and GA-BP neural network models to predict the deliverability.
针对沙溪庙组特定的地质特征，本文采用了最佳子集及GA - BP神经网络模型预测产能。
We have investigated artificial neural network models based on an augmented Lagrange method, and accomplished the circuit structure and the simulation experiments.
研究了扩展拉格朗日方法的人工神经网络模型，实现了其电路结构，并进行了仿真实验。
In addition, it discusses and predicts the future development of the network technology connected with broadband line according to different kinds of network models.
此外，从网络模型的不同层次出发，探讨了宽带有线接入网技术的发展趋势。
By using neural networks as the approach for whitening system cloud gray model, the system cloud gray neural network models SCGNNM (1, 1), were proposed in this paper.
利用人工神经网络的方法实现系统云灰色模型的参数白化，提出了系统云灰色神经网络模型SCGNNM(1,1)，并给出了相应的学习算法。
The results of experimental prediction show that the accuracy of predication by the neural network models is very high. They open up a new way to predict farmer income.
预测结果表明农户经济收入神经网络模型预测精度较高，开辟了农户经济收入预测的有效途径。
The results of experimental prediction show that the accuracy of predication by the neural network models is very high. They open up a new way to predict farmer income.
预测结果表明农户经济收入神经网络模型预测精度较高，开辟了农户经济收入预测的有效途径。
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