Using genetic algorithms for investment decision-making
نویسنده
چکیده
learning techniques, such as neural networks, genetic algorithms and fuzzy logic, are achieving more acceptance because of significant advances in information technology. Until recently, these computer algorithms were considered too timeconsuming and computationally hungry to be practical. During the past decade, however, a number of financial institutions have successfully applied these methods to the solving of problems in banking, finance and investment (see Deboeck 1994).
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