[HTML][HTML] Predictive analysis of municipal solid waste generation using an optimized neural network model

N Elshaboury, E Mohammed Abdelkader, A Al-Sakkaf… - Processes, 2021 - mdpi.com
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an
optimized artificial neural network (ANN) to forecast quantities of waste in Poland. The
neural network coupled with particle swarm optimization (PSO) algorithm is compared to the
conventional neural network using five assessment metrics. The metrics are coefficient of
efficiency (CE), Pearson correlation coefficient (R), Willmott's index of agreement (WI), root …

[PDF][PDF] Predictive Analysis of Municipal Solid Waste Generation Using an Optimized Neural Network Model. Processes 2021, 9, 2045

N Elshaboury, E Mohammed Abdelkader, G Alfalah… - 2021 - researchgate.net
Developing successful municipal waste management planning strategies is crucial for
implementing sustainable development. The research proposed the application of an
optimized artificial neural network (ANN) to forecast quantities of waste in Poland. The
neural network coupled with particle swarm optimization (PSO) algorithm is compared to the
conventional neural network using five assessment metrics. The metrics are coefficient of
efficiency (CE), Pearson correlation coefficient (R), Willmott's index of agreement (WI), root …
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