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- W2025367085 abstract "The use of intelligent systems for stock market predictions has been widely established. In this paper, we introduce a genetic programming technique (called multi-expression programming) for the prediction of two stock indices. The performance is then compared with an artificial neural network trained using Levenberg-Marquardt algorithm, support vector machine, Takagi-Sugeno Neuro-Fuzzy model and difference boosting neural network. We considered Nasdaq-100 index of Nasdaq Stock MarketSM and the S&P CNX NIFTY stock index as test data" @default.
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- W2025367085 date "2005-12-01" @default.
- W2025367085 modified "2023-09-23" @default.
- W2025367085 title "Stock Market Prediction Using Multi Expression Programming" @default.
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- W2025367085 doi "https://doi.org/10.1109/epia.2005.341268" @default.
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