Deploying An Artificial Neural Network Model for Solar Air Heating Modelling

Abstract

Abstract In this work, the authors utilize Artificial Neural Networks to model the efficiency of solar air heaters. The underlying thermodynamic principles and factors affecting the performance of the solar air heater were considered and used for training and testing to determine the efficiency of the solar air heater. Using an input-output mapping approach, a back propagation learning algorithm based neural network was used to train and test measurable, controlled and conditional factors as input for the modeling architecture. The ...