Forecasting shipping index using ceemd-pso-bilstm model

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SUMMARY

    The concept of deep learning, first proposed by Hinton et_al, is a new type of multi-hidden layer neural_network based on artificial neural_networks (ANN), which has shown powerful capabilities in the extraction of essential features of complex input samples. At the same time, the prediction effect of deep learning in shipping index is explored to fill the gap of neural_network in the field of shipping index prediction. The authors introduce the neural_network algorithm system into the shipping market prediction, and through the current better CEEMD method, the original sequence is decomposed, which creates favorable . . .

     

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