Skip to content
Publish & Distribute
Publishing Solutions
Distribution Solutions
Library Services
Subjects
Architecture and Design
Arts
Business and Economics
Chemistry
Classical and Ancient Near Eastern Studies
Computer Sciences
Cultural Studies
Engineering
General Interest
Geosciences
History
Industrial Chemistry
Jewish Studies
Law
Library and Information Science, Book Studies
Life Sciences
Linguistics and Semiotics
Literary Studies
Materials Sciences
Mathematics
Medicine
Music
Pharmacy
Philosophy
Physics
Social Sciences
Sports and Recreation
Theology and Religion
Publications
Journals
Books
Proceedings
Publishers
Journal Matcher
Blog
Contact
Search
English
English
Deutsch
Polski
Español
Français
Italiano
Cart
Home
Journals
International Journal on Smart Sensing and Intelligent Systems
Volume 10 (2017): Issue 2 (January 2017)
Open Access
APPLICATION OF RADIAL BASIS FUNCTION NEURAL NETWORK TO PREDICT EXCHANGE RATE WITH FINANCIAL TIME SERIES
AI SUN
AI SUN
International Business Department, National Kaohsiung University of Applied Science
Kaohsiung, Taiwan
Search for this author on
Sciendo
|
Google Scholar
SUN, AI
and
JUI-FANG CHANG
JUI-FANG CHANG
International Business Department, National Kaohsiung University of Applied Science
Kaohsiung, Taiwan
Search for this author on
Sciendo
|
Google Scholar
CHANG, JUI-FANG
Jun 01, 2017
International Journal on Smart Sensing and Intelligent Systems
Volume 10 (2017): Issue 2 (January 2017)
About this article
Previous Article
Next Article
Abstract
References
Authors
Articles in this Issue
Preview
PDF
Cite
Share
Download Cover
Published Online:
Jun 01, 2017
Page range:
1 - 19
Received:
Feb 04, 2017
Accepted:
Apr 15, 2017
DOI:
https://doi.org/10.21307/ijssis-2017-213
Keywords
RBFNN
,
Exchange Rate Prediction
,
financial time series
© 2017 AI SUN et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.