Performance prediction of solar air heater - Ghritlahre, Harish Kumar;Ahmad, Ashfaque
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In this book, the working and construction details of solar air heater have been provided and also described the Artificial neural network (ANN) technique implementation for performance prediction. The aim of this book is to study the performance prediction of solar air heater using multi layer perceptron (MLP) model with relevant input parameters. The main objectives of this book are: (i) To develop neural model for prediction of thermal performance of solar air heater. (ii) Find out the relevant input parameters.

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Produktbeschreibung
In this book, the working and construction details of solar air heater have been provided and also described the Artificial neural network (ANN) technique implementation for performance prediction. The aim of this book is to study the performance prediction of solar air heater using multi layer perceptron (MLP) model with relevant input parameters. The main objectives of this book are: (i) To develop neural model for prediction of thermal performance of solar air heater. (ii) Find out the relevant input parameters.
Autorenporträt
Dr. Harish Kumar Ghritlahre ha conseguito il Bachelor of Engineering (BE) presso il GEC Jagdalpur CG (2007), il M.Tech presso il NIT Raipur CG (2012) e il Ph.D presso il NIT Jamshedpur JH (2019). È professore assistente presso il Dipartimento di ingegneria energetica e ambientale della Chhattisgarh Swami Vivekanand Technical University (CSVTU), Bhilai, Chhattisgarh, India.