A meta-cognitive sequential learning algorithm for neuro-fuzzy inference system
In this paper, we present a meta-cognitive sequential learning algorithm for a neuro-fuzzy inference system, referred to as, ‘Meta-Cognitive Neuro-Fuzzy Inference System’ (McFIS). McFIS has two components, viz., a cognitive component and a meta-cognitive component. The cognitive component employed i...
Saved in:
Main Authors: | Suresh, Sundaram, Subramanian, K. |
---|---|
Other Authors: | School of Computer Engineering |
Format: | Article |
Language: | English |
Published: |
2013
|
Online Access: | https://hdl.handle.net/10356/99120 http://hdl.handle.net/10220/12556 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Meta-cognitive learning algorithm for neuro-fuzzy inference systems
by: Kartick Subramanian
Published: (2014) -
Human action recognition using meta-cognitive neuro-fuzzy inference system
by: Suresh, Sundaram, et al.
Published: (2013) -
Human action recognition using Meta-Cognitive Neuro-Fuzzy Inference System
by: Suresh, Sundaram, et al.
Published: (2013) -
Meta-Cognitive Neuro-Fuzzy Inference System for human emotion recognition
by: Suresh, Sundaram, et al.
Published: (2013) -
A meta-cognitive interval type-2 fuzzy inference system classifier and its projection based learning algorithm
by: Suresh, Sundaram, et al.
Published: (2013)