DocumentCode :
1784785
Title :
Portfolio selection in hybrid Radial Basis Functions
Author :
Loukeris, N. ; Eleftheriadis, I. ; Livanis, E.
Author_Institution :
Dept. of Bus. Adm., Univ. of Macedonia, Thessaloniki, Greece
fYear :
2014
fDate :
7-9 July 2014
Firstpage :
259
Lastpage :
264
Abstract :
The portfolio selection is upgraded should it includes unobtrusive hidden information, into extended accounting and financial data. The Radial Basis Function Nets are examined on numerous hybrids topologies, aiming to specify the most advanced techniques in portfolio management. A Radial Basis Function Hybrid into Genetic Algorithms optimisation is superior to all the hybrid neuro-genetics of RBFs.
Keywords :
accounts data processing; investment; radial basis function networks; extended accounting; financial data; genetic algorithms optimisation; hybrid neurogenetics; hybrid radial basis functions; hybrids topologies; portfolio management; portfolio selection; unobtrusive hidden information; Bibliographies; Accounting; Finance; Genetic Algorithms; Hybrids; Portfolio Optimisation; Radial Basis Function Networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information, Intelligence, Systems and Applications, IISA 2014, The 5th International Conference on
Conference_Location :
Chania
Type :
conf
DOI :
10.1109/IISA.2014.6878774
Filename :
6878774
Link To Document :
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