Water Quality Prediction System Based on Adam Optimised LSTM Neural Network for Aquaculture: A Case Study in Kerala, India

Accurate water quality prediction (WQP) and assessment have a significant role in making aquaculture production profitable and sustainable. The water quality (WQ) parameters in aquaculture undergo dynamic changes, generally nonlinear and complex. The conventional prediction mechanisms show insuffici...

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Veröffentlicht in:	Journal of the Institution of Engineers (India). Series B, Electrical Engineering, Electronics and telecommunication engineering, Computer engineering Electrical Engineering, Electronics and telecommunication engineering, Computer engineering, 2022, Vol.103 (6), p.2177-2188
Hauptverfasser:	Rasheed Abdul Haq, K. P., Harigovindan, V. P.
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Aquaculture Autoregressive models Communications Engineering Engineering Networks Neural networks Original Contribution Parameters Prediction models Predictions Quality assessment Water quality
Online-Zugang:	Volltext
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