Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic algorithms + data structures = evolution programs (2nd, extended ed.)
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
ECGA vs. BOA in discovering stock market trading experts
Proceedings of the 9th annual conference on Genetic and evolutionary computation
Discovering stock market trading rules using multi-layer perceptrons
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
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This paper discusses knowledge patterns in evolutionary learning of decision support systems for time series analysis, especially concerning time series of economical or financial data. It focuses on decision support systems, which use evolutionary algorithms to construct efficient expertises built on the basis of a set of specific expert rules analysing time series, such as artificial stock market financial experts composed of popular technical indicators analysing recent price quotations. Discovering common knowledge patterns in such artificial experts not only leads to an additional improvement of system efficiency, in particular - the efficiency of the evolutionary algorithms applied, but also reveals additional knowledge on phenomena under study. This paper shows a numer of experiments carried out on real data, discusses some examples of the knowledge patterns discovered in terms of their financial relevance as well as compares all the results with some popular benchmarks.