OPTIMIZATION OF NEURAL NETWORK CLASSIFIERS BY LEVERAGING THE SEQUENTIAL FEATURE ENGINEERING FOR ROBUST WATER QUALITY PREDICTION SYSTEM

OPTIMIZATION OF NEURAL NETWORK CLASSIFIERS BY LEVERAGING THE SEQUENTIAL FEATURE ENGINEERING FOR ROBUST WATER QUALITY PREDICTION SYSTEM

Rapid population growth increases water demand, intensifying extraction from wells and rivers. The Water Quality Index (WQI) assesses water suitability for drinking based on multiple parameters. Accurate assessment of pollution in water is imperative for effective management of water quality. The pr...

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Bibliographic Details
Main Authors: Maheswara Rao V V R, Silpa N, Kranthi Addanki, Shiva Shankar Reddy, Ramachandra Rao Kurada, Pachipala Yellamma
Format: Article
Language:English
Published: University of Kragujevac 2025-03-01
Series:Proceedings on Engineering Sciences
Subjects:
water quality prediction
neural networks
feature engineering
data analytics
predictive modelling
Online Access:https://pesjournal.net/journal/v7-n1/33.pdf
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https://pesjournal.net/journal/v7-n1/33.pdf

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