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Faculty of Engineering
Document Details
Document Type
:
Article In Journal
Document Title
:
Approximation of a Discrete Event Stochastic Simulation Using an Evolutionary Artificial Neural Network
تقريب محاكاة الأحداث العشوائية الوثابة باستخدام شبكة عصبية اصطناعية تطورية
Subject
:
Industrial Engineering
Document Language
:
English
Abstract
:
A computer simulation model may be regarded as a mapping function bietween a set of input and output variables. Although simulation models are very popular experimentation tools, in many cases they are computationally expensive. Hence, it would be essential to have fast, accurate approximation of computer simulation. This paper examines the use of an evolutionary artificial neural network for approximating a lot size - reorder point inventory system simulation. The proposed approach was compared with a Backpropagation trained neural network and multiple linear regression models
ISSN
:
1319-1047
Journal Name
:
Engineering Sciences Journal
Volume
:
15
Issue Number
:
1
Publishing Year
:
1425 AH
2004 AD
Article Type
:
Article
Added Date
:
Thursday, February 4, 2010
Researchers
Researcher Name (Arabic)
Researcher Name (English)
Researcher Type
Dr Grade
Email
هندي عبد الله الهندي
AL-HINDI, HINDI ABDULLAH
Researcher
Doctorate
hahindi@ksu.edu.sa
Files
File Name
Type
Description
25100.pdf
pdf
Approximation of a Discrete Event Stochastic Simulation Using an Evolutionary Artificial Neural Network
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