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Neural networks have been popular in time series prediction in financial area for their advantages in handling nonlinear systems. However, conventional neural networks are confronted with the problem to include time property and the risk of local convergence. This paper presents a study of using a novel recurrent neural network-Echo State Network (ESN) to predict next value in a financial time series...
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