Learning capabilities of neural networks
Up to now many neural network models have been proposed. In our study we focus on two kinds of feedforward networks: strictly feedforward networks and Kohonen's self-organizing mappings where lateral competition is introduced. The two kinds of feedforward networks have played a fundamental role...
Saved in:
Main Author: | Huang, Guangbin. |
---|---|
Other Authors: | School of Electrical and Electronic Engineering |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/13161 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Federated learning for graph neural networks
by: Yan, Yige
Published: (2023) -
Complementary learning fuzzy neural network
by: Tan, Tuan Zea
Published: (2010) -
Complex-valued neural networks and their learning algorithms
by: Savitha Ramasamy.
Published: (2011) -
Investigations in neural network learning using geometrical approach
by: Wang, Di
Published: (2008) -
Stock trading prediction using deep learning neural networks
by: Ong, Hao Cong
Published: (2021)