In this chapter, we explore the applications of complementarity functions within neural network methods. In particular, we present two classes of target problems, nonlinear complementarity problems and optimization problems involving second-order cones (SOCs), and demonstrate how they can be addressed using neural networks in conjunction with complementarity functions.