摘要：The exponential periodicity and stability of continuousnonlinear neural networks with variable coefficientsand distributed delays are investigated via employingYoung inequality technique and Lyapunov method.Some new sufficient conditions ensuring existence anduniqueness of periodic solution for a general class ofneural systems are obtained. Without assuming theactivation functions are to be bounded, differentiableor strictly increasing. Moreover, the symmetry of theconnection matrix is not also necessary. Thus, wegeneralize and improve some previous works, and theyare easy to check and apply in practice
关键词：Neural networks; exponential periodicity;distributed delays; Young inequality
