Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/4416
Title: | Robust training algorithm of neural network and support vector machine for pattern recognition and control | Authors: | Hu, Wenjie. | Keywords: | DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation | Issue Date: | 2003 | Abstract: | Traditional neural network approaches have suffered from difficulties with gener-alization ability and the over- fitting problem always plagues artificial lintelligence researchers.The support vector machines (SVMs)is a new and very promising classification technique developed by Vapnik and his research group. | URI: | http://hdl.handle.net/10356/4416 | Schools: | School of Electrical and Electronic Engineering | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Theses |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
EEE-THESES_452.pdf Restricted Access | 2.32 MB | Adobe PDF | View/Open |
Page view(s)
468
Updated on Mar 15, 2025
Download(s)
7
Updated on Mar 15, 2025
Google ScholarTM
Check
Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.