为了对网络参数进行优化，本文提出了一种一般单纯形算法，这种方法比单纯形法收敛速度要快。
In order to optimize the parameters of the network, we propose the General Simplex Method, which converges more quickly than the Simplex Method.
本文从神经网络模型的结构出发，对学习算法提出了一系列改进和优化措施，以加快网络的学习速度，并增加模型的稳定性。
With the study of neural network model, this paper advances some of improvement and optimization techniques that can accelerate the learning speed of network and increase the stability of model.
优化后的网络收敛速度快、稳定，具有较强的推广能力。
Optimized network has quick convergence speed, steady performance and good extend capability.
网络将提高互联网的速度高达200 %，使用新的解决方案，优化系统参数，负责PC互联网性能。
Web will raise the Internet speed by up to 200% using NEW solutions for the optimization of system parameters, which are responsible for PC Internet performance.
初始权值的优化，使得该算法可以有效地提高复数神经网络的训练速度和计算精度。
Because the initialized weights are optimized, the training accuracy and the learning speed are improved a lot for training complex-valued neural networks.
此目标函数的优化速度快，大大提高了前馈神经网络的学习效率。
The target function's optimal velocity is high, so it can boost learning efficiency of feed forward neural networks.
在神经网络设计中，采用了变尺度优化算法，提高了算法的速度和精度，对空战的实时应用提供了重要的参数价值。
In the design of neural network, optimizing algorithm of DFP is used and reference value for real time application in aerial combat is provided.
针对BP网络学习速度的缓慢性，本文提出了一种联合优化后的快速学习算法。
To accelerate the training speed of BP network, a joint-optimized fast BP learning algorithm is proposed.
而通过一体化预测、计划，优化网络，有效的备件物流可以在提高服务相应速度的同时降低企业运营成本。
With the deployment of integrative forecast and planning, optimized network, efficient spare part supply chain improve service response rate while keeping the operation at a low cost level.
实验结果表明：算法优化后的神经网络分类器不但学习速度快，还能保证分类精度。
Experiment shows neural network classifier that is optimized by algorithm could not only have fast learning speed but also ensure accuracy of classification.
提出的自适应粒子群优化算法，用于优化多层前馈神经网络的拓扑结构，提高了神经网络的学习质量和速度。
The structure of multi-layer feedback forward neural network is optimized by improved PSO. Learning quality and training speed of the neural network are improved.
全面优化Windows的最终系统的性能和顶端Internet的速度释放内置电源系统的基础上，如何使用您的PC和网络配置。
Fully optimizes Windows for ultimate system performance and top Internet speed by unleashing the built-in power of your system, based on how you use your PC and your network configuration.
网络技术是一种计算速度快，所需贮存较少的优化技术。
The network technique is an optimization technique characterized by fast calculation and requiring little storage.
该方法利用加速度传感器的动态标定数据，采用遗传神经网络搜索和优化动态模型参数。
In this method, the dynamic model parameters of accelerometer are optimized by genetic neural network according to measurement data of the dynamic calibration.
该网络采用BP弹性算法，同时对初始权值和阀值进行了优化，实现了网络的非线性映射，并有着极快的收敛速度。
In this network model, the BP elastic algorithm (RPROP) was adopted and the initialized weight value and valve were optimized and this model has realized the nonlinear.
结果表明，该优化网络算法具有较快的收敛速度和良好的预测性能，能够成为合金设计有力的辅助手段。
The results show that the network with the optimal algorithm has a high speed of convergence and good quality of prediction, which will be an effective assistant method for alloy design.
算法面向实际的运输网络，利用顶点间存在的路径关系，对个体进行优化，从而加速了算法收敛速度。
For a practical transport network, the algorithm used the relations among the points to optimize the individuals. Thus the procedure of the evolution was accelerated.
遗传算法优化的BP神经网络在收敛速度和泛化能力上都较简单的BP神经网络要好，模拟结果更接近于真实值。
The constringency speed and generalization ability of optimized BPNN model are better than that of simple BPNN model, and the simulation result is close to reality.
经过试验验证优化后的网络不仅收敛速度快、精度得到极大提高，而且网络预测相对误差精度都在6%以下。
Experiments prove that the optimized network converges more quickly and accurately. The relative prediction error precisions are all below 6%.
其中以超大空间的IP地址、优化的网络速度和高安全性为显著特点。
Among them, large IP address space, optimized speed and high security are the salient features.
经验证(PSO)优化算法可以有效地克服BP神经网络存在的学习效率低，收敛速度慢以及容易陷入局部极小点等固有缺点。
It is confirmed that PSO could overcome intrinsic shortcomings of BP neural network, including low learning efficiency, slow convergence rate, being easy to fall into local minima, etc.
通过种群优化分类，使搜索半径不断缩小，实现了自适应连续优化搜索，较大提高了网络优化收敛速度、解的精度及全域寻优能力。
The Genetic Algorithms are optimized by the clustering analysis. The search area is reduced continuously by classifying the population. The continuously adaptive optimizing search is implememented.
通过种群优化分类，使搜索半径不断缩小，实现了自适应连续优化搜索，较大提高了网络优化收敛速度、解的精度及全域寻优能力。
The Genetic Algorithms are optimized by the clustering analysis. The search area is reduced continuously by classifying the population. The continuously adaptive optimizing search is implememented.
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