引入学习率来加快BP神经网络的训练速度。
The introduction study rate speeds up the BP neural network the training speed.
我必须特别训练速度和短跑，然后跟球队一起训练。
I must work especially on speed and sprints and then we'll face the training games.
应用所引入的因子模糊化训练法可使训练速度加快。
During training of the network, the fuzzified factor based training technique is used, and the training process is accelerated rapidly.
提出了比例系数BP网络训练算法，提高了网络的训练速度。
The scale factor training algorithm has been brought forward to accelerate the training of BP network.
结合升温策略，算法在优化精度和训练速度方面有较大的改善。
Using "temperature-raising" strategy, convergence rate and training speed of the algorithm are greatly improved.
在那盘录象中，介绍了以训练速度和练习速度游泳时的几个片断。
In that video sequences of training speed swimming and drills are shown.
神经元网络的输入经过快速付氏变换可以大大提高网络的训练速度。
FFT for inputs of the ANN is used to improve and speed up the training procedure.
为减少数据的非线性和提高训练速度，形成了特殊的数据排序方法。
A special method is developed for data ordering to reduce the nonlinearity of data and to increase the speed of training.
当你跑步开始计划增加训练速度内容时，那就记住下面10个技巧吧！
Remember these 10 tips when you start adding the fast stuff to your running program
结果表明，此法能有效提高对转炉终点碳预报的命中率和网络的训练速度。
The results show that this method can effectively enhance the hit rate of end-point carbon prediction and the training speed of network.
通过分类实验表明，覆盖算法的准确性和网络训练速度都大大高于SVM。
The experiment showed that the accuracy and speed of the covering algorithm is better than that of SVM.
达到这一目的的最佳方法是通过这种类型的速度训练，快于以前的训练速度。
The best way to achieve all this is through a variety of speed drills that you run faster than the workouts in the previous chapters.
在此基础上又采用了加均值量化算法来提高神经网络图像压缩处理的训练速度。
Based on this, we also adopt the adding mean quantization algorithm to improve the neural network training speed of image processing.
该神经元可应用于模式识别、降低神经元网络中的神经元数量和提高训练速度。
When it is used for pattern identification, the less the number of neurons is, the quicker the training is.
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.
根据数据并行的思想，提出了在时序预测中并行训练神经网络的模型，以提高训练速度。
Based on the idea of data parallelism, a parallel training model for RBF (radial basis function) neural network in time-series prediction to improve the training speed is proposed.
为了提高MLP的训练速度，提出了一种线性化逐层优化（LOLL） MLP训练算法。
The other is the Linearized Optimization Layer by Layer (LOLL) algorithm which speeds up MLP's training procedure.
该方法采用分解策略，将原问题分解为一系列两类分类问题，降低了训练规模，提高了训练速度。
The classification method USES decomposition strategy to decompose initial problem into a series of two-class classification problems that reduces training scale and enhances training speed.
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。
The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio.
相对于基于堆栈滤波器边界检测法，该方法对堆栈滤波器的优化训练速度大大提高，所需内存大为减少；
Contrast to the stack filter based edge detection. the proposed method gainis higher speed, uses less memory for optimal training of stack filter.
此外，提出用带输出误差死区的混合BP算法训练神经元分类器，提高了网络学习训练速度和分类准确性。
Further, a hybrid BP algorithm with dead interval of error is derived for training the neural classifier in order to increase training speed and classification accuracy.
由于采用附加动量项和自适应率等措施，克服了BP规则的局限性，加快了训练速度，增强了网络的泛化能力。
The application of additional momentum and adaptive learning rate overcomes the limitation effect of BP rule, accelerates the training speed and strengthens the generalization ability of network.
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.
在保证支撑矢量机的分类能力情况下，该方法大大地减少了训练样本的个数，同时提高了支撑矢量机的训练速度。
This method greatly reduces the number of training examples and so improves the training speed of SVM, without the loss in generalization performance.
通过仿真和空调系统模型试验证明了该方法在网络训练速度，抗干扰能力及各种传感器故障识别准确率等方面的有效性。
Effectiveness of the method in networks training speed, anti-interfering ability and identifying veracity of sensor faults are proved by simulation and model test of conditioning system.
如果选取的权值范围距离目标极值区域很远，搜索空间越大，目标极值区域越窄，搜索时间就越长，训练速度就越缓慢。
If it is far from chosen range of weights to goal area, the search space is wider, goal area is narrower, search time is longer and training speed is slower.
本研究设计了适用于GPS单点定位计算的BP人工神经网络模型结构，采用共轭梯度算法改善网络的训练速度和精度。
The BP network architecture applied to determine GPS standalone position is designed. Meanwhile, the conjugate gradient algorithm is used to improve the training velocity and accuracy of the network.
BP网络模型在加入动量项和引入权值控制算法进行改进后，不但预测能力有所改善，网络的训练速度也有了很大的提高。
The actual prediction ability of BP network model is improved and training velocity is increased by adding momentum factor and using the weight control calculation in the BP network model.
在用BP网进行语音和说话人识别过程中，BP网的输入节点数一般在几百个左右，使得网络的规模过大，训练速度过慢。
In the process of speech and speaker recognition with BP neural network, nearly several hundreds of input nodes are required, that lead a very large network scale and a very slow train speed.
在用BP网进行语音和说话人识别过程中，BP网的输入节点数一般在几百个左右，使得网络的规模过大，训练速度过慢。
In the process of speech and speaker recognition with BP neural network, nearly several hundreds of input nodes are required, that lead a very large network scale and a very slow train speed.
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