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In this paper, an Adaptive Rival Penalized Competitive Learning and Combined Linear Prediction model is applied to the forecast of stock price and exchange rate. As shown by the experimental results, this approach not only is better than Elman Net and MA(q) models in the criterion of root mean square error, but also can bring in more returns in the trade(More)
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