In this paper, a recurrent neural network (RNN) for finding the solution of linear programming problems is presented with better, spontaneous and fast converging. To achieve optimality in accuracy and also in computational effort, an algorithm is also presented. This paper covers the MATLAB Simulink modeling and simulative confirmation of such a recurrent neural network. Modeling and simulative results validate the theoretical analysis and efficiency of the recurrent neural network for finding the solution for linear programming problem. An application RNN in medicine has been presented to show the performance of the recurrent neural network. © 2018 Forum-Editrice Universitaria Udinese SRL. All rights reserved.