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Artificial Neural Networks (ANN): History and Foundations of Traditional ANN

Artificial Neural Networks (ANN): History and Foundations of Traditional ANN
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Author(s): Najib Saylani (Hofstra University, USA)
Copyright: 2003
Pages: 2
Source title: Information Technology & Organizations: Trends, Issues, Challenges & Solutions
Source Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-59140-066-0.ch160
ISBN13: 9781616921248
EISBN13: 9781466665330

Abstract

It all started with extreme optimism and ended with progressive respect for the system. A system, researchers were eagerly trying to fully understand and model. Today, models and algorithms that support them may have all failed to solve the main problem of completely and successfully modeling the human brain’s processes. But, most of these models and algorithms have found a sanctuary in applications spanning fields from science and technology to business. In the business field, their applications span areas in Accounting in the process of auditing, in Finance they are used for Credit card approval and fraud detection, in Management their main application is in assessing corporate merger possibilities, in Marketing they are useful for customers’ profiling of their purchasing patterns and the list go on.

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