solar air heater Using ANN

This document summarizes a research paper on using artificial neural networks (ANN) to predict the performance of solar air heaters. Solar air heaters convert solar energy to thermal energy and have various applications. ANN is a machine learning technique that can be used to optimize, simulate, and predict non-linear systems like solar air heaters. The summary discusses common ANN models like multi-layer perceptrons that are used for performance prediction. Data collection, preprocessing, and dividing the data into training and testing sets are important steps. ANN techniques can successfully predict thermal and exergetic performance of different solar air heater designs. Proper selection of input parameters and training data is key to accurate predictions.