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Titlebook: Artificial Intelligence Trends in Intelligent Systems; Proceedings of the 6 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference proceeding

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发表于 2025-3-21 16:23:55 | 显示全部楼层 |阅读模式
期刊全称Artificial Intelligence Trends in Intelligent Systems
期刊简称Proceedings of the 6
影响因子2023Radek Silhavy,Roman Senkerik,Petr Silhavy
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发行地址Presents recent research on artificial intelligence perspectives in intelligent systems.Includes the proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 1: Artificial Intel
学科分类Advances in Intelligent Systems and Computing
图书封面Titlebook: Artificial Intelligence Trends in Intelligent Systems; Proceedings of the 6 Radek Silhavy,Roman Senkerik,Petr Silhavy Conference proceeding
影响因子.This book presents new methods and approaches to real-world problems as well as exploratory research that describes novel artificial intelligence applications, including deep learning, neural networks and hybrid algorithms. .This book constitutes the refereed proceedings of the Artificial Intelligence Trends in Intelligent Systems Section of the 6th Computer Science On-line Conference 2017 (CSOC 2017), held in April 2017. .
Pindex Conference proceedings 2017
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978-3-319-57260-4Springer International Publishing AG 2017
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Radek Silhavy,Roman Senkerik,Petr SilhavyPresents recent research on artificial intelligence perspectives in intelligent systems.Includes the proceedings of the 6th Computer Science On-line Conference 2017 (CSOC2017), Vol 1: Artificial Intel
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Advances in Intelligent Systems and Computinghttp://image.papertrans.cn/b/image/162154.jpg
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Application of Ontological Approach for Learning Paths Formation,ation method based on the ontological approach is considered. To form the optimal learning path algorithm is proposed. an algorithm Ant colony behavior is used as a model. The distinctive feature is a graphical representation of the learning path suitable for analysis of obtained results.
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Wiley C. Davi,Duncan H. Spelmanation method based on the ontological approach is considered. To form the optimal learning path algorithm is proposed. an algorithm Ant colony behavior is used as a model. The distinctive feature is a graphical representation of the learning path suitable for analysis of obtained results.
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