Stock Market Prediction Using Bio-inspired Computing: a Survey
نویسنده
چکیده
Bio-inspired evolutionary algorithms are probabilistic search methods that mimic natural biological evolution. They show the behavior of the biological entities interacting locally with one another or with their environment to solve complex problems. This paper aims to analyze the most predominantly used bio-inspired optimization techniques that have been used for stock market prediction and hence present a comparative study between them.
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تاریخ انتشار 2013