IRMA-International.org: Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Applications of Artificial Neural Networks in Economics and Finance

Applications of Artificial Neural Networks in Economics and Finance
View Sample PDF
Author(s): Iva Mihaylova (University of St. Gallen, Switzerland)
Copyright: 2018
Pages: 11
Source title: Encyclopedia of Information Science and Technology, Fourth Edition
Source Author(s)/Editor(s): Mehdi Khosrow-Pour, D.B.A. (Information Resources Management Association, USA)
DOI: 10.4018/978-1-5225-2255-3.ch575

Purchase

View Applications of Artificial Neural Networks in Economics and Finance on the publisher's website for pricing and purchasing information.

Abstract

Artificial neural Networks (ANNs) are a powerful technique for multivariate dependence analysis. Originally inspired by neuroscience, ANNs are becoming an increasingly attractive analytic tool for applications in the area of economics and finance due to the flexible solutions they offer. The purpose of this article is to present such important applications with an emphasis on recent research trends. The contributions are grouped as follows: ANNs (1) for prediction, (2) for classification and (3) for modelling. The chapter concludes with the future trends in the ANNs research in economics and finance.

Related Content

Yair Wiseman. © 2021. 11 pages.
Mário Pereira Véstias. © 2021. 15 pages.
Mahfuzulhoq Chowdhury, Martin Maier. © 2021. 15 pages.
Gen'ichi Yasuda. © 2021. 12 pages.
Alba J. Jerónimo, María P. Barrera, Manuel F. Caro, Adán A. Gómez. © 2021. 19 pages.
Gregor Donaj, Mirjam Sepesy Maučec. © 2021. 14 pages.
Udit Singhania, B. K. Tripathy. © 2021. 11 pages.
Body Bottom