混沌(操作系统)
Boosting(机器学习)
混乱的
记忆电阻器
加密
计算机科学
混沌映射
方案(数学)
混沌系统
耦合映象格
统计物理学
算法
理论计算机科学
物理
控制理论(社会学)
人工智能
混沌同步
数学
量子力学
计算机网络
数学分析
计算机安全
控制(管理)
出处
期刊:Physica Scripta
[IOP Publishing]
日期:2025-04-03
卷期号:100 (5): 055225-055225
被引量:3
标识
DOI:10.1088/1402-4896/adc8e3
摘要
Abstract Due to excellent pseudo-random performance, chaotic systems are often applied in the fields of cybernetics, cryptology. However, many chaotic systems have poor chaotic property eg, narrow output range and lower complexity. For a pseudo-random number generator (PRNG) which can output pseudo-random number signal (PRNS), all these have negative effects on its practical application. To better solve these problem, this research designs a novel two-dimensional memristive boosting chaotic map (2D-MBCM). Along with several 2D discrete systems, 2D-MBCM has advantages in both generation time with sequence and system performance, it is of great significance for reducing the computing costs. Finally, by using field-programmable gate array (FPGA) platform, the boosting signals of 2D-MBCM are realized. The experiment result reflects the viability of its engineering application.
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