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Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution

Tao Q., Liu F., Sidorov D. Recurrent Neural Networks Application to Forecasting with Two Cases: Load and Pollution // Advances in Intelligent Systems and Computing. Vol.1072. 2020. P.369-378. ISBN (print): 9783030335847. DOI: 10.1007/978-3-030-33585-4_37 Forecasting problems exist widely in our life. Its purpose is to enable decision makers to make effective responses to future changes. The traditional prediction methods based on probability and statistics cannot guarantee the accuracy of multivariable...

Теги: deep learning , forecasting , gru , lstm , decision making , intelligent computing , learning algorithms , machine learning , pollution , forecasting modeling , forecasting models , forecasting problems , neural netwo
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