Rankings
Publications
Search Publications
Cited-by Search
Sources
Publishers
Scholars
Scholars
Top Cited Scholars
Organizations
About
Scilit
About Us
Advisory Board
Data Sources
Career
Support / Contact
User Guide
Publisher User
Search Function
Rankings Function
API Resource
Scilit Knowledge
Metrics
Scilit Recognitions
Publications Classification
Media
News
Blog
Login
Register
Home
Publications
Application of a hybrid genetic algorithm and neural network approach in activity-based costing
Home
Publications
Application of a hybrid genetic algorithm and neural network approach in activity-based costing
Application of a hybrid genetic algorithm and neural network approach in activity-based costing
Author:
KK
K Kim
K Kim
Article Alert
Citation Alert
Add to Library
Cite
Download
Share
Download
Publisher website
Google Scholar
1 January 2003
journal article
Published by
Elsevier
in
Expert Systems with Applications
Vol. 24
(1)
,
73-77
DOI:
10.1016/s0957-4174(02)00084-2
Abstract
No abstract available
Keywords
ARTIFICIAL NEURAL NETWORKS
ACTIVITY-BASED COSTING
COST ESTIMATING RELATIONSHIPS
GENETIC ALGORITHMS
COST-DRIVER OPTIMIZATION
ARTIFICIAL NEURAL NETWORK
COST ESTIMATION
INDIRECT COST
ARTIFICIAL INTELLIGENT
ACTIVITY BASED COSTING
GENETIC ALGORITHM
NEURAL NETWORK
Cited
Cited by 22 articles
Scroll to top