Optimization of neural network architecture using genetic algorithm for load forecasting
In this paper, a computational intelligent technique genetic algorithm (GA) is implemented for the optimization of artificial neural network (ANN) architecture. The network structures are normally selected on the basis of the developer's prior knowledge or hit and trial approach is used for thi...
| Main Authors: | Islam, B.U., Baharudin, Z., Raza, M.Q., Nallagownden, P. |
|---|---|
| Format: | Conference or Workshop Item |
| Institution: | Universiti Teknologi Petronas |
| Record Id / ISBN-0: | utp-eprints.32092 / |
| Published: |
IEEE Computer Society
2014
|
| Online Access: |
https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906351337&doi=10.1109%2fICIAS.2014.6869528&partnerID=40&md5=6a8e6d25720013a075c72cc181885672 http://eprints.utp.edu.my/32092/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|