@article {Oltean:2007:0952-813X:333,
title = "A-Brain: a general system for solving data analysis problems",
journal = "Journal of Experimental & Theoretical Artificial Intelligence",
parent_itemid = "infobike://tandf/teta",
publishercode ="tandf",
year = "2007",
volume = "19",
number = "4",
publication date ="2007-12-01T00:00:00",
pages = "333-353",
itemtype = "ARTICLE",
issn = "0952-813X",
eissn = "1362-3079",
url = "https://www.ingentaconnect.com/content/tandf/teta/2007/00000019/00000004/art00004",
doi = "doi:10.1080/09528130701416835",
keyword = "Multi expression programming, Problem solving, A-Brain, Intelligent systems, Data analysis",
author = "Oltean, Mihai",
abstract = "An intelligent system should be able to solve a wide range of problems from different domains. In this paper we propose a complex and adaptive system capable of solving various data analysis problems without needing human help for parameter settings. The system, called A-Brain, consists of several interconnected components (a decision-maker, a trainer, and several problem solvers) which provide a base for building complex problem solvers. The parameters of the trainer's algorithm are problem independent. This fact is a requirement for intelligent systems which cannot rely on human intervention while operating. The A-Brain system is used to solve some well-known problems in the field of symbolic regression and classification. Numerical experiments show that the A-Brain system is able to perform very well on the considered test problems.",
}