## References and models cited by this paper | ## References and models that cite this paper | |

Abe S, Kawakami J, Hirasawa K (1992) Solving inequality constrained combinatorial optimization problems by the Hopfield neural networks Bazaraa MS, Sherali HD, Shetty CM (1993) Bertsekas DP, Tsitsiklis JN (1989) Bouzerdoum A, Pattison TR (1993) Neural network for quadratic optimization with bound constraints. Charalambous C (1977) Nonlinear least p-th optimization and nonlinear programming Cichocki A, Unbehauen R (1993) Dupuis P, Nagurney A (1993) Dynamical systems and variational inequalities Ferris MC, Pang JS (1997) Engineering and economic applications of complementarity problems Golden RM (1996) Harker PT, Pang JS (1990) Finite-dimensional variational inequality and nonlinear complementary problems: A survey of theory, algorithms, and applications Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Hornik K, Stinhcombe M, White H (1989) Multilayer feedforward networks are universal approximators Kennedy MP, Chua LO (1988) Neural networks for nonlinear programming Kinderlehrer D, Stampacchia G (1980) Lillo WE, Loh MH, Hui S, Zak SH (1993) On solving constrained optimization problems with neural networks: a penalty method approach. Marcotte P (1991) Application of Khobotovs algorithm to variational inequalities and network equilibrium problems Ohlasson M, Pelterson C, Soderberg B (1993) Neural networks for optimization problems with inequality constraints: The knapsack problem Oja E (1992) Principal components, minor components and linear neural networks Peterson C, Soderberg B (1989) A new method for mapping optimization problems onto neural networks Pyne IB (1956) Linear programming on an electronic analogue computer Rodriguez-vazquez A, Dominguez-castro R, Rueda A, Huertas JL, Sanchez-sinencio E (1990) Nonlinear switched-capacitor neural networks for optimization problems Rumelhart DE, Hinton GE, Williams RJ (1986) Learning internal representations by error propagation Sciavicco L, Siciliano B (2000) Sevrani F, Abe K (2000) On the synthesis of brain-state-in-a-box neural models with application to associative memory. Slotine JJE, Li W (1991) Solodov MV, Tseng P (1996) Modified projection-type methods for monotone variational inequalities Tank DW, Hopfield JJ (1986) Simple neural optimization networks: An A-D converter, signal decision circuit, and a linear programming circuit Xia Y (1996) A new neural network for solving linear programming problems and its application. Xia Y (1996) A new neural network for solving linear and quadratic programming problems. Xia Y, Wang J (2001) A dual neural network for kinematic control of redundant robot manipulators. Xia YS, Leung H, Wang J (2002) A projection neural network and its application to constrained optimization problems Zhang S, Zhu X, Zou LH (1992) Second-order neural networks for constrained optimization | Gao XB, Liao LZ (2006) A novel neural network for a class of convex quadratic minimax problems. Xia Y, Feng G (2005) On convergence conditions of an extended projection neural network. |