| 书目名称 | Intelligent Random Walk: An Approach Based on Learning Automata | | 编辑 | Ali Mohammad Saghiri,M. Daliri Khomami,Mohammad Re | | 视频video | | | 丛书名称 | SpringerBriefs in Applied Sciences and Technology | | 图书封面 |  | | 描述 | .This book examines the intelligent random walk algorithms based on learning automata: these versions of random walk algorithms gradually obtain required information from the nature of the application to improve their efficiency. The book also describes the corresponding applications of this type of random walk algorithm, particularly as an efficient prediction model for large-scale networks such as peer-to-peer and social networks. The book opens new horizons for designing prediction models and problem-solving methods based on intelligent random walk algorithms, which are used for modeling and simulation in various types of networks, including computer, social and biological networks, and which may be employed a wide range of real-world applications.. | | 出版日期 | Book 2019 | | 关键词 | Learning Automata; Intelligent Random Walk; Random Walk Algorithms; Learning Automaton; Artificial Intel | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-10883-0 | | isbn_softcover | 978-3-030-10882-3 | | isbn_ebook | 978-3-030-10883-0Series ISSN 2191-530X Series E-ISSN 2191-5318 | | issn_series | 2191-530X | | copyright | The Author(s), under exclusive license to Springer Nature Switzerland AG 2019 |
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发表于 2025-3-21 18:42:40
