System identification using hierarchical fuzzy neural networks with stable learning algorithm

W Yu, MA Moreno-Armendariz… - Journal of Intelligent & …, 2007 - content.iospress.com
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the normal training method for hierarchical fuzzy neural networks is very …

[PDF][PDF] System identification using hierarchical fuzzy neural networks with stable learning algorithms

W Yu, MA Moreno-Armendariz - nt.ntnu.no
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the structure is very complex, the normal training for hierarchical fuzzy neural …

[PDF][PDF] System identification using hierarchical fuzzy neural networks with stable learning algorithms

W Yu, MA Moreno-Armendariz - researchgate.net
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the structure is very complex, the normal training for hierarchical fuzzy neural …

System identification using hierarchical fuzzy neural networks with stabel learnig algorithms

W Yu, MA Moreno-Armendariz - Proceedings of the 44th IEEE …, 2005 - ieeexplore.ieee.org
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the structure is very complex, the normal trainig for hierarchical fuzzy neural …

[PDF][PDF] System identification using hierarchical fuzzy neural networks with stable learning algorithms

W Yu, MA Moreno-Armendariz - folk.ntnu.no
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the structure is very complex, the normal training for hierarchical fuzzy neural …

System identification using hierarchical fuzzy neural networks with stable learning algorithm

W Yu, MA Moreno-Armendariz… - Journal of Intelligent & …, 2007 - dl.acm.org
Hierarchical fuzzy neural networks can use less rules to model nonlinear system with high
accuracy. But the normal training method for hierarchical fuzzy neural networks is very …