仿真结果表明，相对单通道单路径路由及多路径路由本模型能更好的改善网络性能。
Compared with single channel single - path routing scheme and multi - path routing scheme, the results of simulation show that this model has better network performance.
最后给出了神经网络模型分类性能的测试结果。
Finally, testing results of this model's sorting performance are presented.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
视频业务流量模型是网络性能仿真的一个重要前置环节，但由于视频内容的千差万别，使得很难建立统一的视频业务流量模型。
Modeling video traffic is an important prerequisite for any network performance simulating, but it is very difficult to build an uniform model for video traffic since video contents are variable.
文章分析和比较了目前的安全态势评估方法，提出了一种基于日志审计与性能修正算法的网络安全态势评估模型。
This paper analyzes and compares the existing situational awareness methods and proposes a network security situational awareness model based on log audit and performance correction algorithm.
运用神经网络方法，建立了预测橡胶老化性能的计算模型。
The calculation model for predicting rubber aging properties was derived by means of neural network method.
一种用于提高802.15.4网络性能的区分服务模型。
Service Differentiation Model for Performance Enhancement of 802.15.4 Sensor Networks.
然后文章提出用遗传算法来优化神经网络结构，从而从整体上提升疾病诊断模型的性能。
Acordingly, it proposed that optimize the structure of neural network using genetic algorithms, so as to enhance the overall performance of disease diagnostic model.
并采用一个矿山实测得到的震级数列进行了进化神经网络方法的实用性验证，结果表明，进化神经网络不但模型拟合精度高，而且预测性能也较好。
The proposed model is tested by a real magnitude series from a mine, and results show that evolutionary neural network model has not only high precision, but also high prediction.
以实验研究为基础，采用人工神经网络方法建立了连铸保护渣化学成份一性能预测模型。
On the basis of experiments, artificial neural network is employed to establish the model for predicting chemical composition and properties of continuous casting powder.
并讨论了不同的定时模型参数对网络性能的影响。
And the influence of different network timing model simulation parameters on network performance was discussed.
模型和算法的有效性和完备性在大型网络性能监测与分析系统NIPMAS中得到了实际验证。
And then the model is applied to a distributed network performance monitoring and on-line analysis system, NIPMAS.
运用MATLAB软件建立了系统机械传动装置的数学模型，分析了该滤波网络对系统动态性能的改进效果。
A mathematical model for the pod's mechanical transmission system was established with MATLAB. The improvement on system dynamic performance made by the filtering network was analyzed.
并对该流量控制方法进行了性能分析，与目前常用的漏桶法atm网络流量控制模型进行了性能比较。
The performance of this is analyzed, and compares the performance of this and normal leaky bucket (LB) in ATM network.
本论文是基于国家自然科学基金项目“基于共变正交和联合优化的多媒体网络性能预测模型”的研究需要而展开的。
This paper is based on the project named the Multimedia Network Performance Prediction Model based on Covariation-orthogonality and United Optimization which is supported by NSFC.
为了进一步提高网络入侵检测系统的检测性能，将模糊积分理论和神经网络技术应用到网络入侵检测中，提出了基于模糊积分的多神经网络融合模型MNNF。
The model of Multiple Neural Networks by Fuzzy(MNNF) integral presented in this paper is an effective method to improve the detection performance of network intrusion detection system.
将人工神经网络理论和算法应用于双辉离子渗碳的研究，在对人工神经网络训练的基础上，建立了双辉离子渗碳工艺与渗层性能预报的数学模型。
On the basis of the training of network, the mathematics model on the relationship between double glow plasma carbonizing and prediction of properties is built.
说明用神经网络模型描述微囊制作参数与性能之间的关系，用遗传算法优化微囊制作工艺参数，能设计出性能最佳的微囊制作工艺参数。
The optimum process parameters could be obtained using ANN model to describe relationships between process parameters and performance and GA to optimize process parameters.
实验结果表明前馈后向传播网络的性能最好，与基准模型比较平均错误率下降54.4%。
Experiment results show that feed-forward backpropagation network achieves the best performance, which reduces average error rate by54.4%.
实际应用表明，本文提出的自适应网络模型可以有效提高IPTV系统的性能，具有广阔的应用前景。
It is proven that the adaptive model can improve the performance of IPTV system effectively and has a wide and prosperous future in application by the real application.
在这些预测模型中性能比较突出的是径向基函数网络(rbf)法。
Among them, the Radial Basis Function (RBF) neural network is a better model.
本文研究利用神经网络实现雅可比矩阵模型的机器人手眼协调无标定动态系统的跟踪性能。
The paper studies performance of the uncalibrated hand-eye coordination system, whose image Jacobian matrix is estimated by Neural Network way.
通过计算机实验，讨论样本、学习算法和网络结构等对神经网络预测模型性能的影响及其改进措施。
Through computer simulation, samples, BP algorithms and the influence of network structure neurula on model performance have been discussed as well as the improving measures.
基于BP神经网络建立了热管式真空管集热器热性能的预测校正模型。
A predictive correction model for thermal characteristics of heat-pipe evacuated tubular solar collector was established based on BP neural network.
利用模型的解，求得了网络中的重要性能话音呼叫的拒绝概率和数据业务的平均排队长度。
With the solution of this model, we have obtained the voice call blocking probability and the mean packet waiting length.
该传递函数模型清楚地揭示了辅助谐振换流网络对动态性能的影响。
The effect of the ARCN on the dynamic model of the power stage is clearly revealed.
IP数据网络流量分析模型的研究一直是通信网络性能分析中一个及其重要的问题。
One of the focuses of any performance evaluation of IP data networks is their analytical Modeling of traffic source.
应用模糊控制的逻辑推理性能，借助神经网络的学习能力，提出了一种模糊神经网络预测控制模型。
A fuzzy neural network prediction control model is stated by using the logic inference performance of fuzzy control and the learning ability of neural network.
最后用多类封闭队列网络模型对该性能瓶颈服务器进行模拟分析，找出性能瓶颈组件。
Furthermore, a closed multi-class queuing network was used to model this server, and helped to find the bottleneck components in this server.
最后用多类封闭队列网络模型对该性能瓶颈服务器进行模拟分析，找出性能瓶颈组件。
Furthermore, a closed multi-class queuing network was used to model this server, and helped to find the bottleneck components in this server.
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