Normal view MARC view

Decision support in non-conservative domains: generalization using neural networks

Author: Dutta, Soumitra ; Shekhar, S ; Wong, W. YINSEAD Area: Technology and Operations ManagementIn: Decision Support Systems, vol. 11, no. 5, June 1994 Language: EnglishDescription: p. 527-544.Type of document: INSEAD ArticleNote: Please ask us for this itemAbstract: Models in conventional decision support systems (DSSs) are best suited for problem solutions in domains with well defined/structured (mathematical) or partially defined/semi-structured (heuristic) domain models. Non-conservative/unstructured domains are those which either lack a known model or have a poorly defined domain model. Neural networks (NNs) represent an alternative modelling technique which can be useful in such domains. NNs autonomously learn the underlying domain model from examples and have the ability to generalise, i.e. use the learnt model to respond correctly to previously unseen inputs. This paper describes three different experiments to explore the use of NNs for providing decision support by generalisation in non-conservative/unstructured domains. The authors' results indicates that NNs have the potential to provide adequate decision support in non-conservative/unstructured domains
Tags: No tags from this library for this title. Log in to add tags.
Item type Current location Call number Status Date due Barcode Item holds
INSEAD Article Europe Campus
Available BC003922
Total holds: 0

Ask Qualtrics

Models in conventional decision support systems (DSSs) are best suited for problem solutions in domains with well defined/structured (mathematical) or partially defined/semi-structured (heuristic) domain models. Non-conservative/unstructured domains are those which either lack a known model or have a poorly defined domain model. Neural networks (NNs) represent an alternative modelling technique which can be useful in such domains. NNs autonomously learn the underlying domain model from examples and have the ability to generalise, i.e. use the learnt model to respond correctly to previously unseen inputs. This paper describes three different experiments to explore the use of NNs for providing decision support by generalisation in non-conservative/unstructured domains. The authors' results indicates that NNs have the potential to provide adequate decision support in non-conservative/unstructured domains

Digitized

There are no comments for this item.

Log in to your account to post a comment.
Koha 18.11 - INSEAD Catalogue
Home | Contact Us | What's Koha?