Then immune evolutionary algorithm is used to train the RBF network, which reduces the searching space of canonical evolutionary algorithm and improves the convergence speed.
采用免疫进化算法训练r BF网络，进一步缩小了标准进化算法搜索空间的范围，提高了算法的收敛速度。
Large capacity router, high-speed link, load sharing technology, and route fast convergence are all key technologies to realize and ensure network expansibility.
大容量路由器、高速链路、负载分担技术、路由快速收敛都是实现和保证网络扩展性的关键技术。
Experiment result indicates that it has fine convergence speed, good scheduling length, and fine scheduling scheme for distributed task scheduling in solution to heterogeneous network platform.
实验表明它对于解决异构网络平台下分布式任务调度具有很好的收敛速度，最佳的调度长度和调度方案。
The proposed learning algorithm can reduce the network sensitivity and keep the same convergence speed comparing with traditional learning algorithms.
次种学习算法与传统学习算法相比，可降低网络的灵敏度，但学习收敛速度基本相同。
In the training algorithm of the network an algorithm with adaptive step correction and momentum factor is put forward which obviously improves the convergence speed of training.
在网络训练算法中，提出一种自适应修正步长和矩量因子的算法，显著提高了训练的收敛速度。
Our previous work has shown that the network was effective in improving two difficulties, a convergence to local minimal and a slow learning speed.
并对以前神经网络中的两个难点：局部极小和收敛速度慢的问题进行分析。
The good local amplification and multi-resolution characteristic make the wavelet network have strong adaptive capacity, fast convergence speed and high precision of prediction.
良好的局部放大特性和多分辨率学习特性使得小波神经网络比神经网络有更强的自适应能力、更快的收敛速度和更高的预报精度。
The weights of network adjusted by using the least mean square made fast convergence of radial basis function to obtain better PID control parameters and achieve the speed tracked control.
利用最小均方差来调整网络的权值，使径向基函数快速收敛，获得较佳pid控制参数，达到对转速跟随控制。
Radial basis function (RBF) network have unique advantages in control applications due to its features of simple topological structure, quick convergence speed and no local minima.
径向基函数(RBF)神经网络由于其结构简单、收敛速度快、无局部极小等特点使其在控制中的应用有着独特的优势。
The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio.
模型从根本上保证了分类准则与训练准则的一致性，具有比BP网络更快的训练速度和更高的识别率。
Then it is compared with the BP neural network, the result shows that the former has many merits such as the faster convergence speed, the better approach capability and the studying precision.
结果表明：子波神经网络具有收敛速度快，逼近性好，学习精度高等优点。
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.
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 RBF neural network model has better convergence ability and impending speed than the BP neural network model.
RBF神经网络模型的收敛能力和逼近速度优于BP神经网络模型。
It is shown that, compared with the results from traditional BP neural network, the average error rate is reduced by 1% and the convergence speed raised by 3 times.
结果表明，小波神经网络方法比传统BP网络方法平均预测误差减小了1%，收敛速度加快了3倍。
Back propagation (BP) algorithm is often used for the weights training of neural network, but the convergence speed of BP algorithm is slow.
反向传播(BP)算法常常用于神经网络的权值训练中，但是BP算法收敛慢。
However, BP network with gradient descent has some defects such as low convergence speed, fall in local minima.
然而基于梯度下降的BP网络存在收敛速度慢、易陷入局部极小的缺陷。
RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
The RBF neural network model has better convergence ability and impending speed than the BP neural network model;
RBF网络能很快逼近训练数据，收敛速度明显快于BP 网络；
This new algorithm greatly raises the speed of parameter identification and computation convergence. An avionic equipment cost estimation model is set up based on ANFIS network.
混合学习算法提高了网络参数的辨识速度和网络计算的收敛速度。
This new algorithm greatly raises the speed of parameter identification and computation convergence. An avionic equipment cost estimation model is set up based on ANFIS network.
混合学习算法提高了网络参数的辨识速度和网络计算的收敛速度。
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