Neutral network learning algorithms for microarray classification
In this thesis, we focus on two supervised machine learning algorithms in cancer classification, namely the Backpropagation algorithm (BP) and Extreme Learning Machine algorithm (ELM). The objective of this project is to determine the best generalization network for BP and ELM for microarray data an...
Saved in:
Main Author: | Shwe, Sin Aung. |
---|---|
Other Authors: | Saratchandran, Paramasivan |
Format: | Theses and Dissertations |
Published: |
2008
|
Subjects: | |
Online Access: | http://hdl.handle.net/10356/3256 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Similar Items
-
Modular deep learning algorithms for object classifications
by: Sun, Yansong
Published: (2023) -
Efficient sequential and batch learning artificial neural network methods for classification problems
by: Zhang, Runxuan
Published: (2008) -
Adaptive noise cancellation using dynamic fuzzy neural networks (D-FNN) algorithm
by: Aung Min
Published: (2008) -
Network ensemble and constructive algorithms for model selection of extreme learning machine
by: Lan, Yuan
Published: (2011) -
Image classification via transfer learning
by: Goh, Joab Zhi Cheng
Published: (2020)