A hybrid ensemble learning approach is proposed for financial time series forecasting combining AdaBoost algorithm and long short-term memory (LSTM) network. First, LSTM predictor is trained using the ...

As retail organizations navigate shifting consumer expectations and supply chain complexities, the role of data and ...

During the COVID-19 crisis period, when GDP growth became unusually volatile, the advantages of deep learning became even clearer. Both LSTM and GRU demonstrated lower forecast errors than DFM and ...

Download PDF More Formats on IMF eLibrary Order a Print Copy Create Citation In forecasting economic time series, statistical models often ... This paper addresses this gap by introducing a Python ...