Prediction of Compressive Strength of Plastic Composite Construction Material Using Artificial Neural Network

Due to the huge amounts of plastic trash being produced, which seriously impact the ecosystem and its people, this threat to the environment is increasing. In order to find an effective way to manage these wastes and improve the sustainability of our environment and recycling waste plastic is a solution to this problem. Machine learning and deep learning have captured most of the prediction and classification problems in recent times. In this paper, deep learning Artificial Neural Network technique is used to predict the compressive strength of plastic composite construction material. Developed deep learning Artificial Neural Network model shows 88.59% accuracy.