This algorithm enhanced the network training speed and the precision.
该算法提高了网络训练的速度和精度。
We not only provide offline training services, but also provide network training services.
我们不仅提供线下培训服务，还提供网络培训服务。
The characteristic parameter extraction, the neural network architecture and the network training are given.
文中介绍了特征参数的提取、神经网络的构成以及训练方法。
With a proper network training parameter, 100% correctness can be obtained by using Takagi-Sugeno fuzzy system.
选用适当的网络训练参数，正确率可达到100%。
The sensitivity analysis approach for the hardware implementation of multilayer perceptron prior to network training is proposed.
提出了训练前多层感知器硬件设计的灵敏度分析方法。
In tracking a maneuvering target by NIFPAT algorithm, there are two shortcomings i. e. great computational burden and dependence on network training.
在应用NIFPAT算法对机动目标跟踪时存在计算量大和要求网络训练两个弱点。
This system can complete the function of picture pretreatment, PCA characteristic pick-up and BP nerve network training as well as recognize and so on.
该系统能够完成罐车图像的预处理、PCA特征提取、BP神经网络训练以及基于BP神经网络的识别等功能。
In the end, we initially achieved the classification for Fusarium by optimizing BP neural network training targets, network structure and transfer function.
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。
Once the neural network training has finished, it can diagnose not only the shown faults but also some faults never shown in some extent because of its fault tolerance.
由于其具有容错性，训练好神经网络不仅能诊断出已经出现过的故障，还能在一定范围内诊断出从未出现过的故障；
It takes the network training process as to solve a nonlinear optimization problem. The network weights are optimization variables and prior-knowledge is the constraint.
算法将网络训练看成是求解一个优化问题，网络权是优化变量，而先验知识则是优化问题中的约束项。
To select feature samples in circuit fault diagnosis, we propose a method of cloud-sample generation, and apply it to artificial-neural-network training and recognition.
为了选择电路故障诊断中的特征样本，提出了产生云样本的方法，并用于神经网络的训练和识别。
Combining wavelet networks with a kind method of model structure design and parameter estimation of NARMAX model, a modified wavelet network training scheme is proposed.
将基于MGS算法的NARMAX模型结构与参数辨识的一体化算法和小波网络相结合，提出一种改进的小波网络学习算法。
A new mutual genetic operator based three stages feedforward neural network training method is proposed in this paper, which divides neural networks training procedure into three stages.
论文提出了一种新的基于互补遗传算子的前馈神经网络三阶段学习方法。该方法把神经网络的学习过程分为三个阶段。
The cash will be spent on connecting schools to the national cycle-lane network, training for children and propaganda aimed at motorists.
这些钱将花在修建与各个学校连接的国家自行车道路网上，对儿童进行自行车培训以及对开车一族的宣传上。
The cash will be spent on connecting schools to the national cycle-lane network, training for children and propaganda aimed at motorists.
这些钱将花在修建与各个学校连接的国家自行车道路网上，对儿童进行自行车培训以及对开车一族的宣传上。
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