Artificial_intelligence in internet of things system for predicting water quality in aquaculture fishponds

HIGHLIGHTS

  • who: CSSE and collaborators from the Department of Intelligent Robotics, National Pingtung University, Pingtung, Taiwan have published the paper: Artificial_Intelligence in Internet of Things System for Predicting Water Quality in Aquaculture Fishponds, in the Journal: (JOURNAL)
  • what: To systematically arrange the experiments for training RNN, the Taguchi method was used to search for the optimal hyperparameter combinations for the LSTM and GRU. The applicability of the model proposed in this study was evaluated by calculating root mean square error (RMSE), mean absolute percentage error (MAPE), and correlation coefficient (R-value) . 4 Results and Discussions To . . .

     

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