Title :
A neural network to solve discrete dynamic programming problems
Author :
Francelin, Roseli Ap ; Gomide, Fernando A.C.
Author_Institution :
Sao Paulo Univ., ICMSC-SCE, Sao Carlos, SP, Brazil
Abstract :
An artificial neural network to solve discrete dynamic programming problems is proposed. This approach presents some advantages with regard to alternative approaches because of the inherent parallelism of the neural networks. Some important applications are addressed to illustrate the usefulness of the approach proposed. An algorithm for dynamic programming neural network (DPNN) implementation and an equivalence between the DPNN and the dynamic programming procedure are presented
Keywords :
dynamic programming; neural nets; artificial neural network; discrete dynamic programming problems; equivalence; parallelism; Artificial neural networks; Constraint optimization; Dynamic programming; Network topology; Neural network hardware; Neural networks; Neurofeedback; Neurons; Parallel processing; Performance analysis;
Conference_Titel :
Neural Networks, 1993., IEEE International Conference on
Conference_Location :
San Francisco, CA
Print_ISBN :
0-7803-0999-5
DOI :
10.1109/ICNN.1993.298767
