A One-Layer Recurrent Neural Network for Pseudoconvex Optimization Subject to Linear Equality Constraints

Recurrent Neural Network for Non-Smooth Convex Optimization Problems With Application to the Identification of Genetic Regulatory Networks

(2011) Long Cheng et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Finite-Time Convergent Recurrent Neural Network With a Hard-Limiting Activation Function for Constrained Optimization With Piecewise-Linear Objective Functions

(2011) Qingshan Liu et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Design of Recurrent Neural Networks for Solving Constrained Least Absolute Deviation Problems

(2010) Xiaolin Hu et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

Generalized Convexity in Multiple View Geometry

(2010) Carl Olsson et al.   JOURNAL OF MATHEMATICAL IMAGING AND VISION

Discontinuous dynamical systems

(2008)   IEEE CONTROL SYSTEMS MAGAZINE

A One-Layer Recurrent Neural Network With a Discontinuous Hard-Limiting Activation Function for Quadratic Programming

(2008) Qingshan Liu et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Nonfeasible Gradient Projection Recurrent Neural Network for Equality-Constrained Optimization Problems

(2008) M.P. Barbarosou et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A Novel Recurrent Neural Network for Solving Nonlinear Optimization Problems With Inequality Constraints

(2008) Youshen Xia et al.   IEEE TRANSACTIONS ON NEURAL NETWORKS

A One-Layer Recurrent Neural Network with a Discontinuous Activation Function for Linear Programming

(2007) Qingshan Liu et al.   NEURAL COMPUTATION