Mazlin Bin Mokhtar

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— Prediction of the accurate amount of solid waste is difficult work because several parameters affect it. There is a high degree of fluctuation in the prediction of amount of solid waste generation. Therefore, applying neural network as intelligent system can be a good option. In a tourist area such as Langkawi Island, protection of the area and pollution(More)
The population growth, changing consumption patterns, and rapid urbanization contribute significantly to the growing volumes of solid waste that are generated in urban settings. As the rate of urbanization increases, demand on the services of solid waste management increases. The rapid urban growth in Langkawi Island, Malaysia, combined with the increasing(More)
Municipal solid waste (MSW) is the natural result of human activities. MSW generation modeling is major significant in municipal solid waste management system planning. Predicting the amount of generated waste is difficult task because it is affect by various parameters. In this research, Artificial Neural Network (ANN) was trained and tested to weekly(More)
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