Nov 23, 2015 · In this paper, an integration-enhanced Zhang neural network (IEZNN) model is first proposed and investigated for real-time-varying matrix inversion.

Moreover, in the presence of various kinds of noises, the proposed IEZNN model is proven to have an improved performance. That is, the proposed IEZNN model.

That is, the proposed IEZNN model converges to the theoretical solution of the time-varying matrix inversion problem no matter how large the matrix-form ...

Dec 1, 2016 · Moreover, in the presence of various kinds of noises, the proposed IEZNN model is proven to have an improved performance. That is, the proposed ...

Dive into the research topics of 'Integration-Enhanced Zhang Neural Network for Real-Time-Varying Matrix Inversion in the Presence of Various Kinds of Noises'.

The Zhang neural network (ZNN) has become a benchmark solver for various time-varying problems solving. In this paper, leveraging a novel design formula, a.

A new hybrid Zhang neural network (HZNN) model is formulated to solve time-varying matrix inversion problem.

Integration-enhanced Zhang neural network for real-time-varying matrix inversion in the presence of various kinds of noises. L Jin, Y Zhang, S Li. IEEE ...

In this paper, an integration-enhanced Zhang neural network (IEZNN) model is first proposed and investigated for real-time-varying matrix inversion, ...

Inevitable noises and limited computational time are major issues for time-variant matrix inversion in practice. When designing a time-variant matrix ...