Title :
Neural networks in minimax programming
Author :
Osowski, Stanislaw
Author_Institution :
Inst. of the Theory of Electr. Eng. & Electr. Measure., Warsaw Univ. of Technol., Koszykowa, Poland
Abstract :
The application of the neural computing network concept to the minimax optimization is presented. According to the method the minimax programming problem is first transformed to the standard single-objective optimization problem and then solved by transforming it to the set of ordinary differential equations. The clustered connection-type interpretation of the neural-based minimax approach is given. The numerical results of some chosen examples are also presented
Keywords :
mathematics computing; minimax techniques; neural nets; mathematics computing; minimax programming; neural computing; neural nets; optimization; ordinary differential equations; Circuits; Computer networks; Differential equations; Electric variables measurement; Intelligent networks; Lagrangian functions; Minimax techniques; Neural networks; Optimization methods; Steady-state;
Conference_Titel :
Cellular Neural Networks and their Applications, 1990. CNNA-90 Proceedings., 1990 IEEE International Workshop on
Conference_Location :
Budapest
DOI :
10.1109/CNNA.1990.207531
