针对交换式工业以太网的数据通信特点，采用遗传算法来寻找其网络划分问题的次优解。
Considering the communication characteristics of switched industrial Ethernet, genetic algorithms are used to find near-optimal solution for its network partition problem.
神经网络对于解决模式识别问题来说，可以实现特征空间较复杂的划分，适合于高速并行处理系统来实现。
To solve the pattern recognition problems, the neural network can achieve the involved demarcate of earmark space, and it cut out for high acceleration and parallel systems to achieve.
针对河流-三角洲储层沉积微相划分问题，提出了一种基于加权模糊推理神经网络的判别方法。
Focusing on the classification of sedimentary microfacies in fluvial delta reservoir, one diagnosis based on weighted fuzzy neural network is proposed.
如果这个网络可以赢利，关键问题就是广播公司能否和移动运营商就如何划分利益达成一致。
The big question is whether the broadcasters and mobile operators can agree how to divide the spoils, assuming there are any.
首先，我试图找出任何这样的代码可以在网络上，但没有运气，然后我划分的问题，并试图解决，并将结果输出，我想。
First, I tried to identify any such code available on the net, but with no luck, and then I divided the problem and tried to solve it and get the output which I wanted.
为解决相似案例差异性问题，提出了基于划分聚类和模糊神经网络的设计案例相似性检索方法。
To improve the diversity of similar cases, similarity retrieval method based on partitioned clustering and General Fuzzy Min-Max neural network is developed.
本文研究了一类神经网络优化特性的一些问题。对其解的特性、可行解空间的划分及吸引区特性进行了研究。
Some properties of neural optimization are studied in this paper. The properties of the solutions and the region of attraction, the division of the feasible solution space are investigated.
针对河流-三角洲储层沉积微相的划分问题，提出了基于加权模糊推理神经网络的判别方法。
Based on the division of river-delta reservoir sedimentary facies, we present a distinguishing method based on the fuzzy reasoning NN.
网络IP地址资源的有限性使得无限膨胀的网络用户可享有的IP地址数目越来越少，子网的划分是解决这个问题的有效途径。
The limited numbers of IP address that can be supplied to increasingly infinite users are getting less and less. Effective method to resolve this problem is to create subnet.
根据从接收节点得到的反馈信息，提出了一个图模型来刻画基于网络编码的重传问题，并将发送节点的重传策略模型化为图中的最小团划分。
The algorithm converts surface matching problem into maximum weight clique searching problem in graph theory, and the optimal point correspondence set is represented by the maximum weight clique.
建立了配电网络重构的图的多划分模型，提出了基于图的谱划分的算法，用于求解大规模配电网络的馈线间重构问题。
This paper proposes a novel spectral partitioning algorithm, viz. recursive spectral bisection, for weighted graph partitioning that models large scale distribution feeder reconfiguration problem.
同时针对大规模神经网络算法训练速度较慢的问题提出了划分子网络的改进方法。
At the same time, large-scale training of neural network algorithm put forward a slow sub-division of the network enhancement.
同时针对大规模神经网络算法训练速度较慢的问题提出了划分子网络的改进方法。
At the same time, large-scale training of neural network algorithm put forward a slow sub-division of the network enhancement.
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