Investigations in neural network learning using geometrical approach
In this thesis several methods to control the geometrical expansion process are proposed and analyzed. Our approaches turn out to gain faster training speed with satisfactory accuracy. We discuss problems both with Boolean inputs and with real-valued inputs respectively.
Saved in:
Main Author: | |
---|---|
Other Authors: | |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/2517 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |