An artificial neural network for simulation of an upflow anaerobic filter wastewater treatment process

HIGHLIGHTS

• who: Mark McCormick from the The multilayer perceptron (MLP) ANN models were built using Python, ., and the Keras, .3., API running on top of the TensorFlow, ., library for machine learning. The sequential model architecture was used. The input object shape was set to , (input_shape=(4, )). The input object received a single input array containing four vectors corresponding to the four predictors (ESD, MAT, HDR, Q). The output from the input object was passed to the first hidden layer comprised of dense units. The subsequent MLP hidden layers were constructed using identical dense units. The accuracy of an . . .
  

   

  

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