A neural network for solving monotone linear complementary problem isproposed. It has not involved any parameter and is proven to be uniformly, asymptoticallyand stably convergent to an exact solution of the linear complementary problem. Thesimulation results show that the proposed neural network is feasible and very efficient. It has not involved any parameter and is proven to be uniformly, asymptotically and stably convergent to an exact solution of the linear complementary problem. The simulations results show that the proposed neural network is feasible and very efficient .