Bidirectional Long Short-Term Memory (BILSTM) - Support Vector Machine: A new machine learning model for predicting water quality parameters

Bidirectional Long Short-Term Memory (BILSTM) - Support Vector Machine: A new machine learning model for predicting water quality parameters

Water pollution threatens human health, agriculture, and ecosystems. Accurate prediction of water quality parameters is crucial for effective protection. We suggest a novel hybrid deep learning model that enhances the efficiency of Support Vector Machines (SVMs) in predicting Electrical Conductivity...

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Bibliographic Details
Main Authors: Zahra Jamshidzadeh, Mohammad Ehteram, Hanieh Shabanian
Format: Article
Language:English
Published: Elsevier 2024-03-01
Series:Ain Shams Engineering Journal
Subjects:
Water quality
Deep learning
Optimization
Total dissolved solids
Bidirectional LSTM
Online Access:http://www.sciencedirect.com/science/article/pii/S2090447923003994

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http://www.sciencedirect.com/science/article/pii/S2090447923003994

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