Intelligent random walk [electronic resource] : an approach based on learning automata / by Ali Mohammad Saghiri, M. Daliri Khomami, Mohammad Reza Meybodi.
- 作者： Saghiri, Ali Mohammad.
- 其他作者：
- 其他題名：
- SpringerBriefs in computational intelligence.
- 出版： Cham : Springer International Publishing :Imprint: Springer 2019.
- 叢書名： SpringerBriefs in computational intelligence,
- 主題： Random walks (Mathematics)--Data processing. , Machine learning. , Computational Intelligence. , Robotics and Automation. , Machine Learning. , Mathematical Models of Cognitive Processes and Neural Networks.
- ISBN： 9783030108830 (electronic bk.) 、 9783030108823 (paper)
- URL：
點擊此處查看電子書
電子書(校內)
- 一般註：Random walk algorithms: Definitions, weaknesses, and learning automata based approach -- Intelligent Models of Random Walk -- Applications -- Conclusions. E1084學校採購電子書
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讀者標籤：
- 系統號： 000274316 | 機讀編目格式
館藏資訊
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.
摘要註
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.
