Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions - Liu, Qingshan; Wang, Jun (IEEE transactions on neural networks, 2011)
Keywords: Algorithms; Applied sciences; Artificial intelligence; Artificial neural networks; Complexity theory; Computer science; control theory; systems; Computer Simulation; Connectionism. Neural networks; Constrained optimization; Constraints; Convergence; convergence in finite time; Deviation; Exact sciences and technology; global Lyapunov method; Humans; Linear programming; Mathematical models; Neural networks; Neural Networks (Computer); Nonlinear Dynamics; Optimization; Programming; Programming, Linear; Recurrent neural networks; Time Factors; Lower bound; Recurrent neural nets; convergence in finite time; L1 approximation; Lyapunov method; Shortest path; Linear programming; Routing; Regression analysis; Network management; Neural network; Modeling; Constrained optimization; Minimum time; recurrent neural networks; Activation function; Optimal solution; piecewise function; Objective function; global Lyapunov method; Piecewise linearization; Mathematical programming