PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING PARAMETERS OF A MULTILAYER FEEDFORWARD ARTIFICIAL NEURAL NETWORKS USING A GENETIC ALGORITHM
An artificial neural network (ANN), or shortly "neural network" (NN), is a powerful mathematical or computational model that is inspired by the structure and/or functional characteristics of biological neural networks. Despite the fact that ANN has been developing rapidly for many years...
Saved in:
Main Author: | AHMED ABDALLA, OSMAN |
---|---|
Format: | Thesis |
Language: | English |
Published: |
2011
|
Online Access: | http://utpedia.utp.edu.my/2846/1/my_thesis_osman30-1-2001...last7.pdf http://utpedia.utp.edu.my/2846/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
PROPOSED METHODOLOGY FOR OPTIMIZING THE TRAINING
PARAMETERS OF A MULTILAYER FEED-FORWARD ARTIFICIAL NEURAL
NETWORKS USING A GENETIC ALGORITHM
by: ABDALLA, OSMAN AHMED
Published: (2011) -
Separable recursive training algorithms for feedforward neural networks
by: Asirvadam , Vijanth Sagayan, et al.
Published: (2002) -
Simulation of ammoniacal nitrogen effluent using feedforward multilayer neural networks
by: Jami, Mohammed Saedi, et al.
Published: (2011) -
Training feedforward neural networks using hybrid particle swarm optimization and gravitational search algorithm
by: Mirjalili, Seyed Ali, et al.
Published: (2012) -
Comparing forecasting performances between multilayer feedforward neural network and recurrent neural network in Malaysia's load
by: Mohamed, Norizan, et al.
Published: (2010)