PD F文件网络信息抽取的重要资源。
PDF files are important resource of Internet information extraction.
这种网络具有与人脑相类似的学习记忆能力和输入信息特征抽取能力。
This network has the ability of learning memory and input information trait extracting.
本文探讨了用神经网络从模式中自动抽取特征向量并确定特征向量是否已具有足够特征信息的方法，给出了计算机模拟的结果。
In this paper, we have studied the method of drawing automatically from pattern and assessing whether feature vectors contain enough feature information. The result of computer simulation is given.
用主量分析(PCA)方法进行特征抽取，RS方法对特征信息进行预处理，约简后的特征作为网络输入，构成车牌字符识别网络。
Feature information is gathered with PCA, and it is preprocessed with RS way. Reduced feature is used as input of neural network, recognition network is composed with it.
在网络舆情分析中，人们迫切需要自动化的工具在海量信息中抽取所需要的信息，以供进一步分析利用。
In online public opinion analysis, the people need for automatic tools to find the exact information among the magnanimous information sources for further analysis.
本文针对系统后台数据的获取以及系统前台数据处理进行展现，设计出基于网络爬虫的基金信息的抽取与分析平台。
This paper is deal with the system's background data and foreground data to emerge. So it designs a system about platform of fund data extraction and analysis base on web crawler.
因此，近些年来越来越多的研究工作利用从论坛中抽取出来的信息建立各种网络应用。
As a result, in recent years more and more research efforts trying to use information extracted from forum data to build various web applications.
在与网络文本相关的信息抽取任务中，观察值序列都是给定的，所以不需要考虑得到观察值的概率，而只需要关注观察值引起的状态转移的概率。
In text-related tasks, the observation sequence is given, so we don't need to care the probability of the observation, but the state sequence induced.
博客作为一类重要的网络信息资源，其评论信息抽取是舆情分析等研究工作的基础。
Blog is an important kind of network information resources, and the extraction of its comments is the basic work of public opinion analysis researches and of such work.
博客作为一类重要的网络信息资源，其评论信息抽取是舆情分析等研究工作的基础。
Blog is an important kind of network information resources, and the extraction of its comments is the basic work of public opinion analysis researches and of such work.
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