术语“专家系统”的详细信息
数据项 Items | 术语信息 Info. |
---|---|
汉语术语编号 Term No. | 84000377 |
所属学科 Subject | 社会学 Sociology |
汉语术语词性 POS | n. |
汉语术语分词 Segmentation | 专家/系统/ |
汉语术语长度 Length | 2 |
关联术语表达 Association | |
搭配信息 Collocation | |
编纂人 Compiler | 杨烨 |
编纂日期 Date of Compilation | 2015-09-16 00:00:00 |
汉英语境1
英译术语:
expert system
汉语语境:
人文社会科学的评价问题在当前引发了许多争议和非议。专家系统及其同行评议在中国所受干扰太多,伴随“学术经济化”的现象出现了评价者角色的失范。量化评价方法具有一定的合理性,但它毕竟只是管理的工具,其作用不可高估,在学术活动中仅供参考。
英语语境:
Presently many controversies and hostile opinions have been put forward about the evaluation of the humanities and expert system.Along with the economicalization of academic researches, expert system and peer review are subjected to much outside interference in China, and evaluators do not play their original role.Reasonable as it is to some extent, the evaluation method of qualification is just a management tool with confined function, namely, only providing a reference in the academic activity.
汉英语境2
英译术语:
expertise system
汉语语境:
随着人工神经元网络 (ANN)研究的深入和发展 ,其应用领域越来越广泛 ,解决经济问题的有效性也得到广泛的证实和认同。同时 ,克服其局限性的策略和方法亦越来越多。可以认为 ,人工神经元网络不失为数量经济学的一种崭新的研究方法 ,将其与传统的统计分析方法及遗传算法、模糊逻辑、专家系统适当结合 ,取长补短 ,必将强化分析经济问题的精确性、可靠性和稳定性。
英语语境:
With its in-depth development, the applications of artificial neural network(ANN) are comprehensive. The effectiveness of ANN in economics are generally recognized. There are increasing ways of overcoming its limitations. ANN can be regarded as a novel study method of quantity economics. If it is connected with conventional statistics, or things like fuzzy logic, expertise system, genetics, the accuracy, effectiveness and robustness of solving economic problems will be highly enhanced.
汉英语境3
英译术语:
specialist system
汉语语境:
针对国际工程索赔工作中存在的问题,专家们提出了初步索赔专家系统模型,即索赔矩阵。旨在共享索赔专家丰富的知识和经验,提高索赔工作效率 ,进而提高索赔的成功率。同时 ,对该模型的构成、与之相关的数据库和模型的使用程序等进行了分析。
英语语境:
To solve the problems encountered in lodging claims in international project,experts put forward a preliminary specialist system, i.e. claim matrix,for the purpose of enhancing the work efficiency and securing more successes in making claims through sharing the claim experts' rich knowledge and experience.Thereafter,an analysis is made of the composition of the system,relevant data base and application procedure.