This paper describes an application of genetic programming to forecasting financial markets
that allowed the authors to rank first in a competition organized within the CEC2000 on “Dow …

In this paper a self-adapting architecture for FOREX market prediction, which is being
developed, is described. The proposed system utilizes genetic programming (GP) for …

Recently, many uses of artificial intelligence have appeared in the commercial field. Artificial
intelligence allows computers to analyze very large amounts of information and data, reach …

The purpose of this article is to provide an overview of soft computing applications in
actuarial science. Soft computing (SC) refers to modes of computing in which precision is …

During the past thirty years, there has been considerable concern about combination of
forecasts. Many of the articles and books dedicated to this specific area explain and …

If we regard reversibility (in the intuitive sense) as the ability to return to a previous state,
monadic algebras possess varying types and degrees of reversibility. In this paper, we …

A major restriction on a traditional artificial neural network (ANN) is the approximation
capability will be frozen after the completion of the training process. This results in a gradual …

Abstract Dear Sir or Madam will you read my book It took me years to write, will you take a
look Paperback Writer, Lennon/McCartney This thesis deals with the analysis and …

In the presented paper the class of TAR-GARCH models is used to describe both a
conditional mean due to regimes given by threshold parameters and a conditional variance …

Portfolio optimization requires investor's risk aversion to be specified. Without efficient
procedures for identifying risk aversion in practical situations, investors can overexpose …