Hopfield型连续神经网络指数收敛速度的估计

Estimate of Exponential Convergence Rate for Hopfield-Type Continuous Neural Networks

讨论了Hopfield型连续神经网络的指数收敛速度问题 ,从理论上得到了新的局部指数收敛条件 .与以往的结果相比 ,本文导出指数收敛的阶更大 ,指数收敛的速度可更快 .文中还给出了数值举例 .

This paper is concerned with the estimating of exponential convergence rate for Hopfield type neural networks, and establishing a new sufficient condition for local exponential convergence. The larger order the exponential convergence, the faster the convergence rate may be. An example is presented also.