Monthly runoff forecasting based on LSTM–ALO model

By Xiaohui Yuan, Chen Chen, Xiaohui Lei, Yanbin Yuan, Rana Muhammad Adnan. Stochastic environmental research and risk assessment (Print), 2018

302 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Environmental Engineering, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/acb6d219551c4390730a3a80799bff34ab16bbb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Rahim Barzegar
2. Jan Adamowski
3. Mohammad Taghi Aalami

In Environmental Engineering

1. Rahim Barzegar
2. Jan Adamowski
3. Mohammad Taghi Aalami
4. Ravinesh C. Deo
5. Mukesh Tiwari
6. Muhammad Mohsin Waqas
7. Usa Wannasingha Humphries
8. John M. Quilty

In Water Science and Technology

1. Rahim Barzegar
2. Jan Adamowski
3. Mohammad Taghi Aalami
4. Muhammad Mohsin Waqas
5. Usa Wannasingha Humphries

Citations in the corpus

• Short-term water quality variable prediction using a hybrid CNN–LSTM deep learning model (2020, background): “Each layer is comprised of a set of recurrently connected memory cells and three multiplicative units: the input, forget and output gates (Yuan et al. 2018).”