Pseudo outer-product based fuzzy neural networks
Fuzzy rule-based systems and neural networks are complementary Artificial Intelligence (AI) techniques. Considerable amount of research and development has been directed at the integration of fuzzy rule-based systems and neural network techniques into hybrid fuzzy neural networks. Such hybrid system...
Saved in:
Main Author: | Zhou, Ruowei. |
---|---|
Other Authors: | Quek, Hiok Chai |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2009
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/20482 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
A pseudo-incremental rough set-based pseudo outer-product with ensemble learning (ieRSPOP++) fuzzy neural network
by: Iyer, Aparna.
Published: (2013) -
Structural evolving appetitive reward-based pseudo-outer-product fuzzy neural network SE-ARPOP-CRI(S)
by: Do, The Anh
Published: (2012) -
A novel online AARS-based Pseudo Outer-Product Fuzzy Neural Network (online POPFNN-AARS)
by: Cheong, Tzeh Leong.
Published: (2010) -
A novel incremental rough set-based pseudo outer-product with ensemble learning (ieRSPOP) neuro-fuzzy system for forecasting volatility
by: Tor Das, Ronald.
Published: (2010) -
Complementary learning fuzzy neural network
by: Tan, Tuan Zea
Published: (2010)