A fuzzy neural network for intelligent data processing
In this paper, we describe an incrementally generated fuzzy neural network (FNN) for intelligent data processing. This FNN combines the features of initial fuzzy model self-generation, fast input selection, partition validation, parameter optimization and rule-base simplification. A small FNN is cre...
Saved in:
Main Authors: | Wang, Lipo., Xie, Wei, Chu, Feng, Lim, Eng Thiam |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Conference or Workshop Item |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/94947 http://hdl.handle.net/10220/8121 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Fuzzy logic application for intelligent data processing
by: Xie, Wei.
Published: (2008) -
Development of parsimonious fuzzy neural network for data driven modelling
by: Mahardhika Pratama.
Published: (2013) -
Multi-associative neural networks and their applications to learning and retrieving complex spatio-temporal sequences
by: Wang, Lipo.
Published: (2012) -
Noise injection into inputs in sparsely connected Hopfield and winner-take-all neural networks
by: Wang, Lipo.
Published: (2012) -
Wavelet neural networks for stock trading
by: Zheng, Tianxing., et al.
Published: (2013)