Artificial Neural Network Application to Business Performance with Economic Value Added (Manuscripts) Artificial Neural Network Application to Business Performance with Economic Value Added (Manuscripts)

Artificial Neural Network Application to Business Performance with Economic Value Added (Manuscripts‪)‬

Academy of Information and Management Sciences Journal 2003, Jan-July, 6, 1-2

    • £2.99
    • £2.99

Publisher Description

ABSTRACT An application of neural networks to classify the performance status of business firms is performed. An artificial neural network (ANN) model is developed using publicly available dataset as input and output variables. Several different neural network topologies are designed and applied to the datasets. A neural network model classifies both high and low business performance status. The ANN model can enhance strategic and managerial insights by providing meaningful financial information.

GENRE
Computing & Internet
RELEASED
2003
1 January
LANGUAGE
EN
English
LENGTH
13
Pages
PUBLISHER
The DreamCatchers Group, LLC
SIZE
200
KB
Methods and Procedures for the Verification and Validation of Artificial Neural Networks Methods and Procedures for the Verification and Validation of Artificial Neural Networks
2006
Deep Learning Deep Learning
2019
Machine Intelligence Machine Intelligence
2019
Guide to Neural Computing Applications (Enhanced Edition) Guide to Neural Computing Applications (Enhanced Edition)
1998
Spatial Analysis and GeoComputation Spatial Analysis and GeoComputation
2006
The Science of Deep Learning The Science of Deep Learning
2022
Predicting Leadership Success in Agile Environments: An Inquiring Systems Approach (Report) Predicting Leadership Success in Agile Environments: An Inquiring Systems Approach (Report)
2010
E-Commerce Security Standards and Loopholes (Manuscripts) E-Commerce Security Standards and Loopholes (Manuscripts)
2000
Ethics of Computer Use: A Survey of Student Attitudes. Ethics of Computer Use: A Survey of Student Attitudes.
2006
Information Systems Security and Safety Measures: The Dichotomy Between Students' Familiarity and Practice. Information Systems Security and Safety Measures: The Dichotomy Between Students' Familiarity and Practice.
2009
Understanding the Lack of Minority Representation in Graduate Programs in Computer Science and Information Technology: A Focus Group Study of Student Perceptions (Report) Understanding the Lack of Minority Representation in Graduate Programs in Computer Science and Information Technology: A Focus Group Study of Student Perceptions (Report)
2009
The Ethical Dimension of Information Technology Workers--an Empirical Study (Report) The Ethical Dimension of Information Technology Workers--an Empirical Study (Report)
2001