对于带有签名图形的合四次数值神经网络的双重安全同步标准
概括
这项研究涉及在通信延迟和欺骗攻击下,四次值神经网络 (QVNNs) 中的安全同步. 为平衡和不平衡网络拓开发了双边安全同步 (BSS) 和准同步 (BSQS) 的新标准.
科学领域:
- 复杂的系统复杂的系统.
- 神经网络的神经网络的神经网络
- 控制理论 控制理论
背景情况:
- 合四次数值神经网络 (QVNNs) 是复杂的系统,在信号处理和图像分析方面具有应用.
- 这些网络的安全同步至关重要,但因可变通信和对抗性攻击而受到挑战.
研究的目的:
- 调查双边安全同步 (BSS) 问题,用于合的QVNNs.
- 在结构不平衡的条件下制定双边安全准同步 (BSQS) 的标准.
主要方法:
- 使用符号图形理论来建模具有合作-竞争相互作用的QVNN.
- 应用非分解方法和单元的利亚普诺夫函数.
- 以四次数值的线性矩阵不等式 (LMIs) 的形式推导标准.
主要成果:
- 对于具有结构平衡拓的合QVNN,建立了BSS标准.
- 对于具有结构不平衡拓的合 QVNN 来得 BSQS 标准,将其视为扰动.
- 通过模拟验证了拟议的BSS和BSQS方法.
结论:
- 开发的BSS和BSQS标准确保了QVNN的安全同步,尽管存在通信不确定性和攻击.
- 这些方法对结构平衡和不平衡的网络配置都有效.
- 模拟证实了拟议的同步策略的实际适用性.
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