摘要
提出了一个新的计算实矩阵最大奇异值的神经网络模型,通过求解其微分方程模型的解析解,给出了该模型的渐近稳定性分析,最后给出了数值试验结果,进一步验证了理论分析的正确性.
A novel neural network model for computing the largest singular value of a given real matrix is proposed. By presenting the analytical solution of the differential equations model, asymptotic stability is derived. Finally, a numerical experiment is provided, which further verifies correctness of the theoretical analysis.
出处
《郑州大学学报(理学版)》
CAS
2008年第3期88-92,共5页
Journal of Zhengzhou University:Natural Science Edition
基金
大连民族学院"太阳鸟"学生科研项目
关键词
神经网络
奇异值
收敛性
渐近稳定性
neural network
singular value
convergence
asymptotic stability