New Backpropagation Algorithm with Type-2 Fuzzy Weights for Neural Networks
In this book a neural network learning method with type-2 fuzzy weight adjustment is proposed. The mathematical analysis of the proposed learning method architecture and the adaptation of type-2 fuzzy weights are presented. The proposed method is based on research of recent methods that handle weigh...
| Main Authors: | Gaxiola, Fernando (Author), Melin, Patricia (Author), Valdez, Fevrier (Author) |
|---|---|
| Corporate Author: | SpringerLink (Online service) |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2016.
|
| Series: | SpringerBriefs in Applied Sciences and Technology,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Similar Items
-
Modular Neural Networks and Type-2 Fuzzy Systems for Pattern Recognition
by: Melin, Patricia
Published: (2012) -
Recent Advances in Interval Type-2 Fuzzy Systems
by: Castillo, Oscar, et al.
Published: (2012) -
New Classification Method Based on Modular Neural Networks with the LVQ Algorithm and Type-2 Fuzzy Logic
by: Amezcua, Jonathan, et al.
Published: (2018) -
Dynamic Parameter Adaptation for Meta-Heuristic Optimization Algorithms Through Type-2 Fuzzy Logic
by: Olivas, Frumen, et al.
Published: (2018) -
Hierarchical Modular Granular Neural Networks with Fuzzy Aggregation
by: Sanchez, Daniela, et al.
Published: (2016)