Classifying High-Dimensional Patterns Using a Fuzzy Logic Discriminant Network
Although many classification techniques exist to analyze patterns possessing straightforward characteristics, they tend to fail when the ratio of features to patterns is very large. This “curse of dimensionality” is especially prevalent in many complex, voluminous biomedical datasets acquired using...
Saved in:
| Main Authors: | Nick J. Pizzi, Witold Pedrycz |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2012-01-01
|
| Series: | Advances in Fuzzy Systems |
| Online Access: | http://dx.doi.org/10.1155/2012/920920 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A model for classifying information objects using neural networks and fuzzy logic
by: Vadym Mukhin, et al.
Published: (2025-05-01) -
Fuzzy Logic Expert System for Classifying Solonchaks of Algeria
by: Samir Hadj Miloud, et al.
Published: (2018-01-01) -
A Three-Dimensional Routing Protocol for Underwater Acoustic Sensor Networks Based on Fuzzy Logic Reasoning
by: Lianyu Sun, et al.
Published: (2025-03-01) -
Fuzzy Epistemic Logic: Fuzzy Logic of Doxastic Attitudes
by: Jinjin Zhang, et al.
Published: (2025-03-01) -
A New Physics-Inspired Discriminative Classifier
by: Mostafa Monemizadeh, et al.
Published: (2024-07-01)