caa a22 4500 60616037X CHVBK 20210128100629.0 cr unu---uuuuu 210128e20150201xx s 000 0 eng 10.1007/s00521-014-1722-x doi (NATIONALLICENCE)springer-10.1007/s00521-014-1722-x Multiple dimensioned mining of financial fluctuation through radial basis function networks [Elektronische Daten] [Yi Xiao, John Liu, Shouyang Wang, Yi Hu, Jin Xiao] Fluctuation mining is one of the greatest challenging tasks in the field of finance market. The main contribution of this research was to propose a multiple dimensioned model for financial market fluctuation mining. In this approach, the original financial time series is broken down into different information by the wavelet filtering technique, and then, all this information is handled through radial basis function networks due to its universal approximation abilities and more robust than the ordinary networks. An experimental analysis is conducted with the proposed model using stock index future time series, revealing consistent performance improvement of this kind of multidimensional approach. The Natural Computing Applications Forum, 2014 Financial market fluctuation nationallicence Multiple dimensioned mining nationallicence Radial basis function network nationallicence Xiao Yi School of Information Management, Central China Normal University, 430079, Wuhan, China aut Liu John Center for Transport Trade and Financial Studies, City University of Hong Kong, Kowloon, Hong Kong aut Wang Shouyang Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China aut Hu Yi School of Management, University of Chinese Academy of Sciences, 100190, Beijing, China aut Xiao Jin Business School, Sichuan University, 610064, Chengdu, China aut Neural Computing and Applications Springer London 26/2(2015-02-01), 363-371 0941-0643 26:2<363 2015 26 521 https://doi.org/10.1007/s00521-014-1722-x text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1722-x text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Xiao Yi School of Information Management, Central China Normal University, 430079, Wuhan, China aut NATIONALLICENCE 700 1- Liu John Center for Transport Trade and Financial Studies, City University of Hong Kong, Kowloon, Hong Kong aut NATIONALLICENCE 700 1- Wang Shouyang Academy of Mathematics and Systems Science, Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 700 1- Hu Yi School of Management, University of Chinese Academy of Sciences, 100190, Beijing, China aut NATIONALLICENCE 700 1- Xiao Jin Business School, Sichuan University, 610064, Chengdu, China aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/2(2015-02-01), 363-371 0941-0643 26:2<363 2015 26 521