Global attracting sets of non-autonomous and complex-valued neural networks with time-varying delays

In this paper, a class of non-autonomous and complex-valued neural networks with time-varying delays are investigated. Some sufficient conditions to guarantee the boundedness of the networks are derived, by developing a new integral inequality and applying the properties of spectral radius of nonnegative matrix. Meanwhile, the framework of the global attracting sets for complex-valued neural networks with time-varying delays is given out. Finally, the effectiveness of the theoretical analysis is illustrated by some examples with computer simulation.