We propose the ann model for special application - - molecular dynamics numerical value simulation , especially aim at classifying , clustering and pattern cognition for scientific dataset 提出了面向特殊应用? ?分子动力学数据模拟的神经网络模型,特别是研究针对科学数据分类、聚类和模式提取问题的神经网络应用。
" i advocate breastfeeding because it ' s wonderful and a great bonding situation for a mother and her child , but there is no scientific data that claims a baby will be smarter if he is breastfed , " he says 他说： “我之所以提倡母乳喂养是因为这是母亲和孩子之间联系感情最好的一种方式，虽然没有科学数据证明哺乳会使孩子更聪明。 ”
Hdf ( hierarchical data format ) is a general purpose library and file format for storing scientific data . it arranges data into datasets ( multidimensional arrays ) and groups ( a structure for organizing objects ) Hdf （分级数据格式）是一个一般目的库和文件格式，用于存储科学数据。它将数据安排到数据集（多维数组）和群（组织对象的结构） 。
For instance , you can write your own control element to , say , display scientific data that your application works with and have it properly follow the user s choice of visual style , just like native gtk controls do 例如，可以编写自己的控制元素，比如说用于显示应用程序处理的科学数据，并让它正确地遵照用户选择的显示风格，就像gtk +自身的控件那样。
Acedb is a genome database designed specifically for handling bioinformatic data flexibly . it includes tools designed to manipulate genomic data , but is increasingly also used for non - biological data 是一个基因组数据库系统，它提供了自定义数据库内核，设计了非标准数据模型，特别用来处理科学数据，尤其是基因组数据，目前在基因组项目管理领域有广泛应用。
Scientific data with complex feature makes it very difficult to understand , analyze and extract knowledge from them . so we need more powerful scientific data analyzing tool : scientific data mining 在对大规模科学数据进行处理时,往往会因为其具有规模大、特征复杂的特点,使得理解、分析这些科学数据,并从中获取知识变得十分困难,由此科学数据挖掘势在必行。
These guidelines are not mandatory , but many countries in asia do use these guidelines , along with the scientific data determined by the national regulatory agencies to establish limits on use and also acceptable residue levels at point of sale 这些指南并不是强制的，但是许多的亚洲国家确实在使用这些指南，还有与由全国管理机构确定建立在用途上限制，和可接受的卖点时残余水平的科学数据。
It is very difficult to understand or analyze the large - scale data in many scientific domains , because it has the characteristic of large - scale quantities , complex features when dealing with , and it is more difficult to get knowledge from it 在对大规模科学数据进行处理时,往往会因为其具有规模大、特征复杂的特点,使得理解、分析这些科学数据,并从中获取知识变得十分困难,由此科学资料挖掘势在必行。
Comprehensive researches and tests reveal that applying wavelet method on scientific data to denoise can improve the efficiency of pattern recognition . scientific data has the characteristic of high dimensional , incomplete , noising , and so on 多方面的研究和测试表明,针对科学数据采用小波分析的方法进行数据除噪可以为后面的知识发现提供方便,同时提高模式识别的性能,从而达到更好的数据挖掘效果。
The main point of this paper is to research the theories and applications of classifying and clustering which is suitable for large - scale science data mining . especially , our research focuses on : classifying and clustering base on decision _ tree , bp neural network , grid , density , partition 以决策树, bp神经网络,基于密度,基于划分,迭代网格为主的分类、聚类技术解决科学数据挖掘中的大规模知识发现问题。
