A Smoothing Neural Network Algorithm for Absolute Value Equations

Feiran Wang, Zhensheng Yu, Chang Gao
2015 Engineering  
In this paper, we give a smoothing neural network algorithm for absolute value equations (AVE). By using smoothing function, we reformulate the AVE as a differentiable unconstrained optimization and we establish a steep descent method to solve it. We prove the stability and the equilibrium state of the neural network to be a solution of the AVE. The numerical tests show the efficient of the proposed algorithm.
doi:10.4236/eng.2015.79052 fatcat:4hshuraajbb2hp4wckh7xqebj4