Comparing extended classifier system and genetic programming for financial forecasting: an empirical study

Author： Chen Mu-Yen   Chen Kuang-Ku   Chiang Heien-Kun   Huang Hwa-Shan   Huang Mu-Jung  

Publisher： Springer Publishing Company

ISSN： 1432-7643

Source： Soft Computing, Vol.11, Iss.12, 2007-10, pp. : 1173-1183

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

Investigating the extreme programming system–An empirical study

By Sfetsos Panagiotis   Angelis Lefteris   Stamelos Ioannis  

Empirical Software Engineering, Vol. 11, Iss. 2, 2006-06 ,pp. : 269-301

Springer Publishing Company

Access to resources Recommend Favorite

FINANCIAL FORECASTING USING GENETIC ALGORITHMS

By Mahfoud Sam   Mani Ganesh  

Applied Artificial Intelligence, Vol. 10, Iss. 6, 1996-12 ,pp. : 543-566

Taylor & Francis Ltd

Access to resources Recommend Favorite

Genetic Algorithm Classifier System for Semi‐Supervised Learning

By  

COMPUTATIONAL INTELLIGENCE, Vol. 31, Iss. 2, 2015-05 ,pp. : 201-232

John Wiley & Sons Inc

Access to resources Recommend Favorite

Forecasting PGR of the financial industry using a rough sets classifier based on attribute-granularity

By Chen You-Shyang   Cheng Ching-Hsue  

Knowledge and Information Systems, Vol. 25, Iss. 1, 2010-10 ,pp. : 57-79

Springer Publishing Company

Access to resources Recommend Favorite

Learning and Programming in Classifier Systems

By Belew R.K.  

Machine Learning, Vol. 3, Iss. 2-3, 1988-10 ,pp. : 193-223

Springer Publishing Company

Access to resources Recommend Favorite