将该方法用于多用户检测问题的实验结果表明，采用这种混合算法训练的RBF网络结构精简，具有很好的抗多址干扰的性能。
The application of the algorithm in multiuser detection problems demonstrates that the RBF network trained with the algorithm is concise in structure and has good anti-MAI performance.
介绍了工作原理，网络结构和训练算法。
The authors introduce the operating principle, network structure and training algorithm.
对网络进行学习训练，并进行了网络结构及其学习参数优化；
Training was conduced by artificial neural networks, the training parameters are optimized.
对系统建立三种网络结构模型，进行训练、测试和对比。
Three types of network structure were built for the system model which had been trained, tested and comprised.
利用改进后的方案实现语音识别、网络结构简化、运算速度加快、训练时间缩短。
By making use of the scheme after improving, it can simplify network structure, accelerate operation, and shorten the training time.
该模型还可以通过不断积累完善训练样本，自动修正网络结构参数和概率分布参数。
With the accumulated and improved training samples, it automatically modifies the parameters of network structure and probability distribution.
而对于不同的驾驶室模型，运用该方法，可以训练出其用于反求的神经网络结构，该方法可以很好的对整个驾驶室的座椅几何参数进行反演。
For different cab, using this method, we can train several inverse models to design and optimize the geometric parameters to make the reduction of noise in it.
在确定了神经网络的结构和参数后，经检验数据验证训练后的神经网络所得的网络结构和参数是合理的。
After confirm the construction and parameters of the net, the result is valid and justified through the verification using the test sample data.
实验数据被用来训练径向基函数(RBF)神经网络，得出的神经网络结构和参数用于数据融合。
The experimental data are used to train a radial basis function (RBF) artificial neural network, and the construction and parameters of the network are obtained for data fusion.
蒸汽仿真子系统可以与其它仿真子系统以数据服务器为中心、以星型网络结构构成分布式仿真系统，对轮机人员进行综合的训练；
On the one hand, the steam simulation system can make up a DIS with other sub systems to simulate the actual engine room performance and give trainees comprehensive training.
使用了修剪技术，使得网络结构不会持续增长，避免了过拟合及过训练现象，因而确保了系统的泛化能力。
The Pruning technology was used to make the network architecture unsustained growth, and avoid the fitting and the training phenomenon, thus, it has guaranteed system's pan-ability.
实验证明，模糊数据曲线确定的网络结构是接近最佳的，在训练速度和精度方面，效果优于神经网络建模算法。
Under the same condition, the precision and speed of fuzzy neural network algorithm was better than that of neural network.
本文提出了一种层次式级联多网络结构，论述了其训练算法，并验证了该结构的收敛性。
A layered cascade multi network architecture and learning algorithm have been proposed in this paper.
由于传统RBF神经网络在学习前需要通过经验公式或实验者人为确定网络结构，这样训练出的网络往往并非最优。
Result of traditional RBF network may not be the best, if network structure is defined by empirical formula or the tester before training.
最后，对BP神经网络的训练目标、网络结构和传递函数等参数进行了优化，初步实现对镰刀菌的分类。
In the end, we initially achieved the classification for Fusarium by optimizing BP neural network training targets, network structure and transfer function.
最后将提出的网络结构应用于建筑工程的投标报价中，仿真结果证明：该网络能达到更高的误差精度、更快的训练速度和更好的泛化能力。
At last the proposed network is used to the construction bidding system. The results of the simulation indicate that it can obtain higher error precision, training speed and generalization ability.
最后将提出的网络结构应用于建筑工程的投标报价中，仿真结果证明：该网络能达到更高的误差精度、更快的训练速度和更好的泛化能力。
At last the proposed network is used to the construction bidding system. The results of the simulation indicate that it can obtain higher error precision, training speed and generalization ability.
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