NEURAL NETWORKS AND INVESTOR SENTIMENT MEASURES FOR STOCK MARKET TREND PREDICTION

SALIM LAHMIRI

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NEURAL NETWORKS AND INVESTOR SENTIMENT MEASURES FOR STOCK MARKET TREND PREDICTION

机译：预测股市趋势的神经网络和投资者情感措施

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Soft computing methods and various sentiment indicators are employed to conduct out-of-sample predictions of the future sign of the stock market returns. In particular, we assess the performance of the probabilistic neural network (PNN) against the back-p

机译：采用软计算方法和各种情绪指标对股市收益的未来迹象进行样本外预测。特别是，我们评估了概率神经网络（PNN）针对反向p的性能

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《Journal of Theoretical and Applied Information Technology》 |2011年第1期|共页
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SALIM LAHMIRI;
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中图分类计算技术、计算机技术;
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NEURAL NETWORKS AND INVESTOR SENTIMENT MEASURES FOR STOCK MARKET TREND PREDICTION

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