Title :
System optimization with artificial neural networks
Author :
Francelin, Roseli ; Gomide, Fernando ; Loparo, Kenneth
Author_Institution :
Sao Paulo Univ., Brazil
Abstract :
A neural network with a three-layer feedback topology is proposed for solving continuous convex optimization problems. Unconstrained and constrained optimization and relationships between neural networks and optimization theory are addressed. Computational results are presented to show the usefulness of the proposed approach
Keywords :
mathematics computing; neural nets; optimisation; topology; constrained optimization; continuous convex optimization; neural networks; three-layer feedback topology; unconstrained optimisation; Artificial neural networks; Circuits; Constraint optimization; Constraint theory; Erbium; Network topology; Neural networks; Neurofeedback; Output feedback; Systems engineering and theory;
Conference_Titel :
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN :
0-7803-0227-3
DOI :
10.1109/IJCNN.1991.170324
