… The research proposed the application of an optimized artificial neural network (ANN) to …
quantities of waste in Poland. The neural network coupled with particle swarm optimization (PSO…

… and optimize models for the estimation of generated municipal waste by application of
methodology using neural network … In this paper, an artificial neural network models were used to …

… for solid waste management. This research has used the … neural network (ANN) and
response surface model (RSM) to predict solid waste generation and to optimize the cost of waste …

… of general regression neural network (a form of artificial neural network) models for the …
and healthcare waste at the national level. Hazardous waste is being generated from many …

… neural network time series model using nonlinear autoregressive technique for predicting
MSW … introduces the optimum ANN structure in which the weights are optimized. The proposed …

… Incessant increase in waste production and land unavailability for waste disposal are critical
challenges for urban management. Urban planning intends to find the best strategies for …

… The models evaluated in this paper are: artificial neural network; discrete wavelet-based
ANN; genetic algorithm optimized ANN; adaptive neuro-fuzzy inference system (ANFIS); …

… Therefore, optimizing the way the waste is collected presents an interesting opportunity. In …
waste generation prediction by applying DL based on specific type of artificial neural networks …

… was used to optimize the solution of the ANN model. The main … monitoring and controlling
the production of methane biogas from … ANN model is employed in optimizing the production of …

… was to develop a model for accurate forecasting of MSW generation that helps waste related
… Therefore, the solution of SVM may be global optimum while other neural network models …