International Journal of Engineering and Technology

An Artificial Neural Networks approach with NP hardness for efficiency approximation is presented in this paper. The aim of present research is to show that finding the solution and efficiency approximation to the solution of the global optimization problem using NP-hard problem. NP hardness is used as the training algorithm of an artificial neural networks approach for calculating the efficiency approximation. In the ANN initial condition for the input–hidden connection, the left sigmoid function is used as an activation function and for the hidden–output inter connection, the right sigmoid function is used as an activation function.