Fuzzy neural network with backpropagation for fuzzy quadratic programming problems and portfolio optimization problems
The study aspires to adopt back propagation fuzzy neural networks to solve fuzzy quadratic programming problems. The main motivation behind proposing a back propagation neural network is that it can easily adjust and fine-tune the weights of the network from the error rate obtained at the previous l...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2024-12-01
|
| Series: | Nonlinear Engineering |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/nleng-2024-0023 |