Dynamic system identification algorithm is developed
using the basic mechanisms of clonal selection and idea
of a new evolutionary computing paradigm - gene
expression programming. On the basis of the algorithm
developed a computer based system is proposed for
making decisions relevant to forecasting of single
variable and multivariate time series. The results of
computing experiments achieved with the system
developed show high quality of short and medium period
forecasts.
%0 Conference Paper
%1 Litvinenko:2005:IEEEIDAACSTA
%A Litvinenko, V. I.
%A Bidyuk, P. I.
%A Bardachov, J. N.
%A Sherstjuk, V. G.
%A Fefelov, A. A.
%B Proceedings of the Third Workshop 2005 IEEE
Intelligent Data Acquisition and Advanced Computing
Systems: Technology and Applications
%C Sofia, Bulgaria
%D 2005
%I IEEE
%K Expression Gene Programming, algorithm, algorithms, artificial clonal genetic immune programming, selection series systems, time
%P 133--138
%R doi:10.1109/IDAACS.2005.282956
%T Combining Clonal Selection Algorithm and Gene
Expression Programming for Time Series Prediction
%X Dynamic system identification algorithm is developed
using the basic mechanisms of clonal selection and idea
of a new evolutionary computing paradigm - gene
expression programming. On the basis of the algorithm
developed a computer based system is proposed for
making decisions relevant to forecasting of single
variable and multivariate time series. The results of
computing experiments achieved with the system
developed show high quality of short and medium period
forecasts.
@inproceedings{Litvinenko:2005:IEEEIDAACSTA,
abstract = {Dynamic system identification algorithm is developed
using the basic mechanisms of clonal selection and idea
of a new evolutionary computing paradigm - gene
expression programming. On the basis of the algorithm
developed a computer based system is proposed for
making decisions relevant to forecasting of single
variable and multivariate time series. The results of
computing experiments achieved with the system
developed show high quality of short and medium period
forecasts.},
added-at = {2008-06-19T17:35:00.000+0200},
address = {Sofia, Bulgaria},
author = {Litvinenko, V. I. and Bidyuk, P. I. and Bardachov, J. N. and Sherstjuk, V. G. and Fefelov, A. A.},
biburl = {https://www.bibsonomy.org/bibtex/287988c6151bce999f14aefbc033a67d3/brazovayeye},
booktitle = {Proceedings of the Third Workshop 2005 IEEE
Intelligent Data Acquisition and Advanced Computing
Systems: Technology and Applications},
doi = {doi:10.1109/IDAACS.2005.282956},
interhash = {b9749c61ec7d7eb418acbf7bb686a9f4},
intrahash = {87988c6151bce999f14aefbc033a67d3},
keywords = {Expression Gene Programming, algorithm, algorithms, artificial clonal genetic immune programming, selection series systems, time},
month = {5-7 September},
pages = {133--138},
publisher = {IEEE},
size = {6 pages},
timestamp = {2008-06-19T17:45:41.000+0200},
title = {Combining Clonal Selection Algorithm and Gene
Expression Programming for Time Series Prediction},
year = 2005
}