Performance of various training algorithms on scene illumination classification
The increasing number of training algorithms along with their convincing results will make this question that which algorithm will be more efficient. This study aims to perform some widespread tests on some well-known training algorithms (Levenberg-Marquardt, Resilient back propagation and Scaled co...
Saved in:
Main Authors: | Hesamian, Mohammad Hesam, Mashohor, Syamsiah, Saripan, M. Iqbal, Wan Adnan, Wan Azizun, Hesamian, B., Hooshyari, M. M. |
---|---|
Format: | Conference or Workshop Item |
Language: | English |
Published: |
IEEE
2015
|
Online Access: | http://psasir.upm.edu.my/id/eprint/47714/1/Performance%20of%20various%20training%20algorithms%20on%20scene%20illumination%20classification.pdf http://psasir.upm.edu.my/id/eprint/47714/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Scene illumination classification using illumination histogram analysis and neural network
by: Hesamian, Mohammad Hesam, et al.
Published: (2013) -
Designing the network topology of feedforward neural network for scene illumination classification
by: Hesamian, Mohammad Hesam, et al.
Published: (2017) -
Scene illumination classification based on histogram quartering of CIE-Y component
by: Hesamian, Mohammad Hesam
Published: (2014) -
Effective marker-based augmented reality scene illumination
by: Sunar , Mohd. Shahrizal
Published: (2013) -
Malaysia solar energy experience: intelligent fault location algorithm for unbalanced radial distribution network including PV systems
by: Farzan, Payam, et al.
Published: (2016)