A Survey on Application of ANNs in Solid Waste Prediction

Abstract: Success of solid waste management system depends upon the prediction accuracy of solid waste generation in the city, hence it plays very important role in SWMS. This is a survey paper dealing with the use of neural network models for solid waste prediction. There are two types of prediction short term prediction and long term prediction mainly depends upon the data availability over the period of time. Artificial Neural Networks (ANNs) is become a key machine learning system in prediction area and proves that it is far superior to traditional statistical methods. Even though there is limited availability of data; artificial neural networks are competent of predicting waste generation with good results. Prediction of solid waste quantity for one particular city cannot be applicable to other study area due to different waste generating conditions belongs to that study area.

Keywords: Artificial Neural Networks (ANNs); Solid Waste Management System (SWMS); Neural Network (NN); Weekly Waste Generation (WWG); Solid Waste (SW).