基于知识的遗传算法(KBGA)优化语义Web服务分类的门控循环单元

Q3 Computer Science

International Journal of Intelligent Systems Technologies and Applications Pub Date : 2023-01-01 DOI:10.1504/ijista.2023.10059590

B.Vinoth Kumar, Sridevi S, Karpagam G. R

引用次数: 0

摘要

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Knowledge-based Genetic Algorithm (KBGA) approach to optimize to Gated Recurrent Unit for Semantic Web Service Classification

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来源期刊

International Journal of Intelligent Systems Technologies and Applications Computer Science-Computer Science (all)

CiteScore

1.30

自引率

0.00%

发文量

期刊介绍： Intelligent systems refer broadly to computer embedded or controlled systems, machines and devices that possess a certain degree of intelligence. IJISTA, a peer-reviewed double-blind refereed journal, publishes original papers featuring innovative and practical technologies related to the design and development of intelligent systems. Its coverage also includes papers on intelligent systems applications in areas such as manufacturing, bioengineering, agriculture, services, home automation and appliances, medical robots and robotic rehabilitations, space exploration, etc. Topics covered include: -Robotics and mechatronics technologies- Artificial intelligence and knowledge based systems technologies- Real-time computing and its algorithms- Embedded systems technologies- Actuators and sensors- Mico/nano technologies- Sensing and multiple sensor fusion- Machine vision, image processing, pattern recognition and speech recognition and synthesis- Motion/force sensing and control- Intelligent product design, configuration and evaluation- Real time learning and machine behaviours- Fault detection, fault analysis and diagnostics- Digital communications and mobile computing- CAD and object oriented simulations.