Article View/Open
Publication Export
Related Publications in TAIR
- > Simple Record
- > Full Record
Field |
Value |
Title: | Artificial neural networks and their business applications |
Authors: | Li, Eldon Y. 李有仁 |
Contributors: | 資管系 |
Date: | 1994 |
Issue Date: | 2015-06-17 17:35:56 (UTC+8) |
Abstract: | Artificial neural networks are increasingly popular in today's business fields. They have been hailed as the greatest technological advance since the invention of transistors. The purpose of this paper is to answer hvo of the inost frequently asked questions: "What are neural networks?" " Why are they so popular in today's business fields?" The paper reviews the common characteristics of neural networks and discusses the feasibility of neural-net applications in business fields. It then presents four actual application cases and identifies the limitations of the current neural-net technology. |
Relation: | Information & Management - INFORM MANAGEMENT , vol. 27, no. 5, pp. 303-313 |
Data Type: | article |
DOI: | http://dx.doi.org/10.1016/0378-7206(94)90024-8 |
DCField |
Value |
Language |
dc.contributor (Contributor) | 資管系 | |
dc.creator (Authors) | Li, Eldon Y. | |
dc.creator (Authors) | 李有仁 | zh_TW |
dc.date (Date) | 1994 | |
dc.date.accessioned | 2015-06-17 17:35:56 (UTC+8) | - |
dc.date.available | 2015-06-17 17:35:56 (UTC+8) | - |
dc.date.issued (Issue Date) | 2015-06-17 17:35:56 (UTC+8) | - |
dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/75939 | - |
dc.description.abstract (Abstract) | Artificial neural networks are increasingly popular in today's business fields. They have been hailed as the greatest technological advance since the invention of transistors. The purpose of this paper is to answer hvo of the inost frequently asked questions: "What are neural networks?" " Why are they so popular in today's business fields?" The paper reviews the common characteristics of neural networks and discusses the feasibility of neural-net applications in business fields. It then presents four actual application cases and identifies the limitations of the current neural-net technology. | |
dc.format.extent | 129 bytes | - |
dc.format.mimetype | text/html | - |
dc.relation (Relation) | Information & Management - INFORM MANAGEMENT , vol. 27, no. 5, pp. 303-313 | |
dc.title (Title) | Artificial neural networks and their business applications | |
dc.type (Data Type) | article | en |
dc.identifier.doi (DOI) | 10.1016/0378-7206(94)90024-8 | |
dc.doi.uri | http://dx.doi.org/10.1016/0378-7206(94)90024-8 | |