Camargo, LC;
Tissot, HC;
Pozo, ATR;
(2014)
Use of backpropagation and differential evolution algorithms to training MLPs.
In:
2012 31st International Conference of the Chilean Computer Science Society.
(pp. pp. 78-86).
IEEE
Preview |
Text
A-Use of Backpropagation and Differential Evolution algorithms to training MLPs.pdf - Accepted Version Download (399kB) | Preview |
Abstract
Artificial Neural Networks (ANNs) are often used (trained) to find a general solution in problems where a pattern needs to be extracted, such as data classification. Feedforward (FFNN) is one of the ANN architectures and multilayer perceptron (MLP) is a type of FFNN. Based on gradient descent, backpropagation (BP) is one of the most used algorithms for MLP training. Evolutionary algorithms can be also used to train MLPs, including Differential Evolution (DE) algorithm. In this paper, BP and DE are used to train MLPs and they are both compared in four different approaches: (a) backpropagation, (b) DE with fixed parameter values, (c) DE with adaptive parameter values and (d) a hybrid alternative using both DE+BP algorithms. © 2013 IEEE.
| Type: | Proceedings paper |
|---|---|
| Title: | Use of backpropagation and differential evolution algorithms to training MLPs |
| Event: | 31st International Conference of the Chilean Computer Science Society |
| ISBN-13: | 9781479929375 |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1109/SCCC.2012.17 |
| Publisher version: | https://doi.org/10.1109/SCCC.2012.17 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher's terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10097653 |
Archive Staff Only
 |
View Item |
