artifical intelligence meaning in English
人工智能
Examples
- With the great boom of computer net and artifical intelligence technoloty , the word " agent " becomes more familiar with many computer documents and the development programmings of companies
随着计算机网络的和人工智能技术的发展， agent一词越来越多地出现在各类计算机文献和众多公司的技术发展规划中。 - As the result of artifical intelligence , databases and statistics , the aim of data mining is to find some meaningful patterns from a lot of data . data mining has great application value
数据挖掘作为人工智能、数据库和统计理论结合的产物，其目的就是要从大量数据中找出有意义的模式，因此具有广泛的应用价值。 - 034 is the header course for the department ' s " artifical intelligence and applications " concentration . the site features a full set of course notes , in addition to other materials used in the course
034是计算机系“人工智能及其应用”核心的介绍性课程。课程网页的特点是有一整套课程讲稿，以及其它在课程中用到的资料。 - Because gbr has much merit such as easily learning and using , facilitated knowledge acquirement , strong adaptability etc , it gets highly regard of artificial intelligence researcher and is an important reasoning technique rising in artifical intelligence field
由于cbr具有易学易用，知识获取容易，适应性强等优点，受到人工智能研究者的高度重视，是人工智能领域新兴的一种重要的推理技术。 - Abstract : artifical intelligence methods are implemented to simulate thebehaviors of axially and laterally loaded piles using the field observation tests data obtain ed f rom the drilled shafts and driven piles . the optimal neural network model is deve loped using only simple input data of spt - n values and piles ' geometrical featu r es etc . . the analysis for r . c piles of some projects is performed adopting the bp n n and grnn models respectively , and the obtained predicated results are compared w ith the data from conventional design method . it demonstrated the obvious advanta ges of neural networks in the design of pile foundations over the traditional me thods . this paper has an important practical significance and a referential worth iness in the design of pile foundations
文摘:根据钻孔桩和打击桩的原型试验观测的数据,运用人工智能方法对横向承载桩和轴向承载桩的工作特性进行模拟,并利用标准贯入试验( spt - n )值和桩的几何特性等简单的输入数据,开发出相应的优化神经网络模型;然后,运用反向传播神经网络模型和广义回归神经网络模型分别对某工程的钢筋混凝土桩进行分析,并将求得的预测结果与常规设计法的结果进行比较,结果表明神经网络方法比传统方法有明显的优越性,在实际工程设计中具有重要的参考价值和现实意义。