Big Data processing Methods for Environmental Management

Abstract

The aim of this study was to use Artificial Neural Networks, a machine learning algorithm which is a Big Data processing method to create a waste generation forecasting model on Solid waste in Ghana based on data from socio-economic and demographic factors. The processing and integration of data was developed in MATLAB software. Performance assessment indicators such as Regression (R) and Mean Square Error (MSE) were used to access the performance of the models. The results showed that Artificial Neural Networks can be used to create waste prediction models and can be considered as an effective approach to estimating waste generation quantities. The results of this study are expected to represent a general outline for Environmental management stakeholders in Ghana and other countries