Multi-layer perceptron artificial neural network for environmental risks prediction of sw-induced pollution in dar es salaam, tanzania

HIGHLIGHTS

• What: To avoid or reduce this kind of shortfalls of the model, studies recommend repetitions of the algorithms in a reasonable number of attempts to find the optimal regression model with ideal MSE and R2 (equal or close to "0.00" and "1.00", respectively). The MSE and R2 values which are the performance indicators of the model were calculated for all data using the optimal identified model of the ten repetitions/attempts. The study aimed to assess solid waste generation rates (WGRs) in Dar es Salaam and their environmental impacts.
• Who: Otaq208 from the . . .
  

   

  

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