The poll was conducted by WIN Network members among representative samples of the population in each country.
这一调查报告是WIN网站通过从每个国家选取有代表性的人群进行的。
The test shows that this method is effective and feasible, and has higher diagnosis precision than BP neural network in cases of fewer samples.
试验结果表明该方法是有效、可行的，且在小样本情况下比BP神经网络具有更高的诊断精度。
The Ministry of Health of China has decided that samples will be sent to a laboratory that is part of the WHO international reference network.
中国卫生部已经决定将样本送交世界卫生组织国际确证实验室网络中的实验室进行检验。
The software includes large collections of task-specific shapes of network objects as well as templates, samples, and easy-to-use wizards.
该软件包括大量的网络项目任务细节方案收藏以及模板，样本和简单易用的向导。
Through computer simulation, samples, BP algorithms and the influence of network structure neurula on model performance have been discussed as well as the improving measures.
通过计算机实验，讨论样本、学习算法和网络结构等对神经网络预测模型性能的影响及其改进措施。
Whereas, an improved ART2 neural network clustering algorithm is proposed to realize the clustering of dynamic samples, and the simulation results are given out at the same time.
鉴于此，本文又提出了一种改进的ART2网络学习算法来实现动态样本的聚类，同时给出了该方法的实验仿真结果。
The article adopts the BP method of artificial neural network to forecast athletic achievements, and it shows that the precision of the model is effective through learning some samples.
鉴此应用BP神经网络对运动成绩进行预测，并结合实例说明了该方法的实施与应用。
A real data set from near infrared reflectance spectra of aspirin used to build up artificial network to predict unknown samples.
使用阿斯匹林粉末药品的近红外漫反射一阶导数光谱数据建立人工神经网络模型，预测未知样品。
The first order gradient optimization algorithm is employed to train the network. The training samples stem from the neutron kinetics of the point-reactor.
神经网络的训练采用一阶梯度优化算法，利用点堆中子动力学模型产生训练样本。
Regarding stability conditions of 14 slopes as study samples and predicting samples, we discuss the stability analysis method and its usefulness based on neural network technology.
以14个边坡工程的稳定状况作为学习样本和预测样本，讨论了基于神经网络技术的黄土边坡稳定性分析方法及其有效性。
Because neural network is based upon empirical risk minimization and asymptotic theories, it is suitable to deal with situations where the amount of samples is tremendous and even infinite.
神经网络的理论基础是最小化经验误差，这种基于传统的渐进理论的学习方法，在训练样本点无穷多时是适用的。
Via analyzing how Shanghai's e-government information resource is constructed, this paper selects the samples which have big network effort and surveys the status of theirs management and utilizing.
文章通过分析上海市电子政务信息资源建设的宏观情况，选取网络影响力较大的电子政务信息资源作为样本开展电子政务信息资源管理和利用现状的调查。
Combining grading method with chaotic optimization, the neural network model achieves rapid training and avoids local minimum when there are a lot of samples to be trained.
考虑神经网络在训练大规模样品时易陷入局部极小，用梯度下降法与混沌优化方法相结合，使神经网络实现快速训练的同时，避免陷入局部极小。
The method uses a logical judgment algorithm to get edge candidate images, and then edge pixels and their neighbor pixels compose the binary samples of the BP neural network.
该方法首先基于邻域灰度极值提取边界候选图像，然后以边界候选象素及其邻域象素的二值模式作为样本集，输入边缘检测神经网络进行训练。
Face recognition based on rough set and neural network was proposed for the shortcoming of high dimension of PCA face recognition and low recognition rate for non-training samples.
基于粗糙集和神经网络的人脸识别方法是针对PC A方法中存在的高维数问题和它对未训练过的样本识别率低的缺点而提出的。
In order to make the training samples of neural network more real, firstly took the experimental data of the initial state of the frame structure to update the model.
为了使得神经网络的训练样本更真实，本文必须首先利用框架结构初始状态的试验值，对其进行模型修正。
The effect of samples training on BP neural network performance with the clustering characteristic of self-organizing competitive network is improved.
通过自组织竞争网络的聚类特征，改善样本训练对BP网络性能的影响。
The samples for training the network are constructed by a sampling window moving through the time history of earthquake.
网络训练的样本是用一个沿地震时间历程滑动的时间窗采样获取的。
This paper takes network topics as samples to examine the expression of travel motivations of Chinese tourists.
本文的实证研究部分，以网络话题为样本，分析了我国旅游者的旅游动机表达。
The composition and training method of training samples in the neural network are presented.
阐述了该神经网络训练样本的组成和训练方法。
The prediction results of the artificial neural network model using the teat samples show that it could almost predict the happening of the financial distress completely.
而类神经网路模型测试组结果显示几乎可完全预测破产情况发生。
A real data set from near -infrared diffuse reflectance spectra of spironolactone pharmaceutical powder was used to built up an artificial neural network model to predict unknown samples.
使用安体舒通粉末药品的近红外漫反射光谱数据建立人工神经网络模型，预测未知样品。
Finally, taking data from CAE as samples; the BP neural network of warping-shrinkage prediction model is established by designing the network structure and selection of learning algorithm.
最后以数值仿真得到的数据为样本数据，通过设计网络结构和选用学习算法，建立并得到基于BP人工神经网络的翘曲——收缩预测模型。
Then a fuzzy controller is designed based on relationship of input vs. output of electric characteristics. The neural network is trained from the samples of input and output of the fuzzy controller.
然后，基于电特性的输入输出关系设计了一个模糊控制器，且利用模糊控制器的输入输出样本训练神经网络。
In the condition of selecting the learning samples properly, the artificial neural network has the obvious advantage in the inverse designing the electronic lens.
可以看到在较好的选取学习样本情况下，神经网络技术在电子透镜的逆设计中有着明显的优越性。
RBF network with high generalization is a good classifier, especially for larger number of samples.
径向基网络作为分类器具有很高的推广性能，有利于大容量样本的分类。
An artificial neural network can learn from a set of samples.
人工神经网络可以从一组样本中学习。
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。
When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and 20 samples are used to train the network.
在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层，并选取了研究区的20个样本对网络进行训练。
When BP network model is established, 8 parameters affecting the debris flows activity of the studying area are chose as the net input layer, and 20 samples are used to train the network.
在BP网络模型建立时采用了对研究区泥石流活跃程度影响最主要的8个参数作为输入层，并选取了研究区的20个样本对网络进行训练。
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