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題名 Artificial neural networks and their business applications
作者 Li, Eldon Y.
李有仁
貢獻者 資管系
日期 1994
上傳時間 17-Jun-2015 17:35:56 (UTC+8)
摘要 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.
關聯 Information & Management - INFORM MANAGEMENT , vol. 27, no. 5, pp. 303-313
資料類型 article
DOI http://dx.doi.org/10.1016/0378-7206(94)90024-8
dc.contributor 資管系
dc.creator (作者) Li, Eldon Y.
dc.creator (作者) 李有仁zh_TW
dc.date (日期) 1994
dc.date.accessioned 17-Jun-2015 17:35:56 (UTC+8)-
dc.date.available 17-Jun-2015 17:35:56 (UTC+8)-
dc.date.issued (上傳時間) 17-Jun-2015 17:35:56 (UTC+8)-
dc.identifier.uri (URI) http://nccur.lib.nccu.edu.tw/handle/140.119/75939-
dc.description.abstract (摘要) 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 (關聯) Information & Management - INFORM MANAGEMENT , vol. 27, no. 5, pp. 303-313
dc.title (題名) Artificial neural networks and their business applications
dc.type (資料類型) articleen
dc.identifier.doi (DOI) 10.1016/0378-7206(94)90024-8
dc.doi.uri (DOI) http://dx.doi.org/10.1016/0378-7206(94)90024-8