1. Açık Erişim@BUU
  2. İndeksli Yayınlar
  3. Web of Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/11452/25915
Title: Use of genetic algorithm to design optimal neural network structure
Authors: Uludağ Üniversitesi/Mühendislik Fakültesi/Endüstri Mühendisliği Bölümü.
Öztürk, Nursel
AAG-9336-2021
7005688805
Keywords: Computer science
Engineering
Mathematics
Mechanics
Mathematical modelling
Programming and algorithm theory
Neural nets
Feature recognition
Manufacturing features
Optimization
Search
Classification
System
Models
Artificial intelligence
Backpropagation
Computational complexity
Design
Feature extraction
Learning systems
Manufacture
Mathematical models
Mathematical programming
Multilayer neural networks
Genetic input selection method
Neural network structure
Genetic algorithms
Issue Date: 2003
Publisher: Emerald Group Publishing
Citation: Öztürk, N. (2003). “Use of genetic algorithm to design optimal neural network structure”. Engineering Computations, 20(7-8), 979-997.
Abstract: In this research, neural network (NN) and genetic algorithm (GA) are used together to design optimal NN structure. The proposed approach combines the characteristics of GA and NN to reduce the computational complexity of artificial intelligence applications in design and manufacturing. Genetic input selection approach is introduced to obtain optimal NN topology. Experimental results are given to evaluate the performance of the proposed system.
URI: https://doi.org/10.1108/02644400310502982
https://www.emerald.com/insight/content/doi/10.1108/02644400310502982/full/html
http://hdl.handle.net/11452/25915
ISSN: 0264-4401
Appears in Collections:Scopus
Web of Science

Files in This Item:
There are no files associated with this item.
Show full item record


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.