Abstract

Artificial Neural Networks are a type of machine learning algorithm inspired by the human brain's neural structure. They are widely used for various prediction tasks due to their ability to learn complex patterns and relationships from data. In this project, ANN model is proposed to estimate the average fuel consumption of heavy vehicles. The dataset used in the study is likely referred to as the "Heavy Vehicle Fuel Dataset," and it contains relevant information about different heavy vehicles, such as their characteristics, driving conditions, and corresponding fuel consumption measurements. This dataset is likely carefully curated to ensure its accuracy and representativeness for the specific task of predicting fuel consumption in heavy vehicles.

Description