电子学报2001，Vol.29Issue(1)：103-105,3.
一类反馈神经网络对非线性连续系统近似能力的证明
Proof of the Approximation Ability of Recurrent Neural Networks to Nonlinear Continuous-Time System with Input
摘要
Abstract
Starting from the universal approximation theorem of multilayered feed forward neural networks, this paper proves that the finite time trajectory of nonlinear continuous-time system with input can be approximated by the state vector of the output units of a class of recurrent neural networks.关键词
非线性连续系统/反馈神经网络/近似分类
信息技术与安全科学引用本文复制引用
李晓东,梁晓波..一类反馈神经网络对非线性连续系统近似能力的证明[J].电子学报,2001,29(1):103-105,3.
