算法的目的是为了支持MANET环境中的数据复制，通过分簇来预测网络分割，以提高数据访问的可用性。
The purpose of the clustering algorithm is to support the data replication for improving data availability at the point of network partitioning in the MANET environment.
为了改进当前社会化标注系统在标签浏览和检索方面的弱点，提出一种基于加权网络分割的社会性标签聚类算法。
This paper proposes a clustering algorithm of social tags based on weighed network division for the purpose of improving browsing and retrieval in existing social annotation system.
提出了一种脉冲耦合神经网络和最大相关准则相结合的算法来对图像进行分割。
The algorithm that segments images with pulse-coupled neural networks(PCNN) and two-dimension maximum correlation criterion(MCC) was presented.
应用层次化思想，本文通过对线性方程组求解的网络模型分析，提出了一种基于网络分割、等效压缩的算法。
Using the hierarchy thought, an algorithm, which bases on network partition and equivalent compress by the analyzing the network model correspondence the linear equations group, is proposed.
提出了一种基于三层BP网络的柴油机故障诊断模型，给出了一种基于黄金分割法的变步长学习算法。
A diesel engine fault diagnosis model based on three-layer BP network is put forward, an step-changing learning algorithm based on gold-segmentation is given.
算法基于标签节点的核心度和相似性对标签共现网络进行分割，并在聚类后自动生成该类的特征标签来代表该类簇。
The algorithm divides tag co -occurrence network based on tag node's centrality and similarity, and automatically generates a cluster feature tag after clustering to represent that cluster.
针对非线性系统的控制问题，提出了一种采用黄金分割法的神经网络预测控制算法。
For the control of nonlinear system, a neural network predictive control strategy based on Golden Section Algorithm is presented.
本文提出了一种改进的BP算法，该算法基于黄金分割法自适应调整网络学习速率。
This paper presents an improved BP algorithm, which can adapt learning rate using gold-segmentation.
目的：设计适用于颅脑磁共振图像分割的神经网络算法。
Objective Designing segmentation of brain MRIs based on neural networks.
详细讨论了网络树的概念，给出了具体的网络分割的算法。
The paper also pat forward the idea about network tree and gives the algorithm about how to divide the network.
该方法采用空间分割算法建立网格，以雷达检飞资料作为基础数据，用雷达方程推算各个网络中心的探测概率。
Based on the data of radar flight for test, the method applies radar equation to estimate the detection probability of gridding center.
因此，有必要研究细胞神经网络在视频序列图像中目标分割和追踪的应用及其相关算法。
So, it is necessary to study the segment and the tracking of moving object in video image.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
该算法以神经网络作为预测模型，以黄金分割法用于优化控制器，其中以系统输入的约束条件作为黄金分割法的动态搜索区间。
The neural network is used as predictive model. Golden Section is used in the optimization of controller. The variable searching region is set by the constraints of system inputs.
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