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improved network model 网络改进模型
P2P is a network model rising in recent years. 摘要P2P是一种新近兴起的网络模型。
This paper presents a fault diagnosis method that an improved BP neutral network model is applied to CNC machine. 提出了一种改进的BP神经网络模型应用于数控机床的故障诊断方法。
The BP network model is established for parameters design of bolt-shotcrete support in tunnels, and the shortcomings of the BP algorithm are improved. 建立了隧道锚喷支护设计参数选择的BP网络模型,并对BP算法中的不足之处加以改进。
The results showed that the estimated RLD(distributions) of winter wheat using the neural network model combined with the improved genetic al... 该方法建模简单、实用,模型对于土壤次生盐渍化的防治与微咸水的灌溉利用等具有参考价值。
The numerical results of the model show that the prediction precision is improved and the iteration number is much less than that by the normal BP network model. 应用IGA-BP网络模型对高炉铁水硅含量进行了预测,数值结果对比发现,该模型提高了预测精度的同时,迭代次数比一般BP网络模型也大大减少;
On the basis of analysing the defectiveness of honeypot network and the way of hiding real IP address, an improved honeypot network model is introduced. 在分析陷阱网络密钥不足和黑客隐藏IP的手段基础上，提出了改进陷阱网络模型的方法。
The semantic network model proposedby Collins was tested in this stud-y. 本研究对柯林斯等提出的语义层次网络模式进行了检验.
By speeding IP packet forwarding,conventional Layer 3 and Layer 4 switches have greatly improved network performance. 通过加快IP包的转发，常规的第3层和第4层交换机大大地改善了网络性能。
The Cayley Neural Network Model:To Recognize 256-Level Color Patterns[J]. 引用该论文帅建伟;陈振湘;刘瑞堂;吴伯僖.
The new B-Series has improved networks for more open midrange. 全新的B系列拥有改良的分频网络和更加开扬的中频表现。
Evaluation of Positive-Complemental optical neural network model[J]. 引用该论文朱伟利;陈岩松;李德华.
Modified multivalue neural network model and the optical implementation[J]. 引用该论文朱伟利;陈岩松.
By speeding IP packet forwarding, conventional Layer 3 and Layer 4 switches have greatly improved network performance. 通过加快IP包的转发，常规的第3层和第4层交换机大大地改善了网络性能。
Convergent rate of certain neural network models s. N. 一类神经网络模型的平衡点的收敛速率。
Using a read-only external cache can improve network file retrieval time. 使用只读外部高速缓存可以缩短网络文件检索时间。
Based on nonlinear prediction ideas of reconstructing phase space,this paper presents a time delay BP neural network model,whose generalization is improved utilizing Bayesian regularization. 基于相空间重构的非线性预测思想,建立一个时滞的BP神经网络模型,采用贝叶斯正则化方法提高BP网络的泛化能力,区别于一般的预测方法,非线性预测不仅注重数据拟合和精度改进,而且能够反映被预测系统的非线性特征。
This paper presents an IR model that extends the basic belief network model with synonym-based evidence. 以同义词为证据扩展基本信念网络模型，得到一个扩展的信念网络检索模型。
An improved genetic algorithm was applied and examined to optimize the weights of a neural network model for estimating root length density(RLD) distributions of winter wheat under salinity stress. 应用改进遗传算法,优化人工神经网络模型的权值,对盐分存在下的冬小麦根系分布进行定量预报,将获得的根系分布参数与根系吸水模型以及水盐运移模型相结合,进行了水分、盐分分布的数值模拟。
An example shows that the process parameters can be speedily optimized by the genetic network model, and higher ethylene yield can be obtained. 示例表明：建好后的网络模型可对乙烯生产装置进行快速工艺参数优化，获得较优的操作数据。