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Predicting ammonia nitrogen in surface water by a new attention-based deep learning hybrid model

Journal: Environmental Research (Q1)

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Abstract

A new hybrid model BC-MODWT-DA-LSTM was proposed based on LSTM combining with the dual-stage attention (DA) mechanism and boundary corrected maximal overlap discrete wavelet transform (BC-MODWT) data decomposition method.

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Highlights

  • Enhance the LSTM model by selectively paying attention to the input data and the computational efficiency could be maintained.

  • Expalainability of the model is improved by designing the attention mechanism with setting weights on input information

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