Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach

Prediction of Water Level and Water Quality Using a CNN-LSTM Combined Deep Learning Approach

A Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) combined with a deep learning approach was created by combining CNN and LSTM networks simulated water quality including total nitrogen, total phosphorous, and total organic carbon. Water level and water quality data in the Nakdong ri...

Full description

Bibliographic Details
Main Authors: Sang-Soo Baek, Jongcheol Pyo, Jong Ahn Chun
Format: Article
Language:English
Published: MDPI AG 2020-12-01
Series:Water
Subjects:
water quality prediction
deep learning
convolutional neural network (CNN)
long short-term memory (LSTM) network
Online Access:https://www.mdpi.com/2073-4441/12/12/3399

Internet

https://www.mdpi.com/2073-4441/12/12/3399

Similar Items