Expert Artificial Neural Network Applications for Science and Engineering

Lingala Syam Sundar

ISBN 13: 9798369372500

Editore: IGI Global, 2025

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nach der Bestellung gedruckt Neuware - Printed after ordering - 'The goal of this book is to use an expert Artificial Neural Network (ANN) to solve various science and engineering application problems and to discuss current developments in solving complicated engineering problems that cannot be solved using traditional methods'.

Codice articolo 9798369372500

Dati bibliografici

• Titolo: Expert Artificial Neural Network Applications for Science and Engineering
• Editore: IGI Global
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 13: 9798369372500
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 260 L x 183 A x 34 P (millimetri) 260 millimetri di larghezza per 183 millimetri di altezza per 34 millimetri di profondità
• Peso: 1210 grammi

Descrizione articolo

Riassunto

Advancements in Artificial Neural Networks (ANN), machine learning, and deep learning are transforming the way complex science and engineering problems are addressed, offering solutions where traditional methods fall short. These technologies enable accurate modeling and analysis in areas such as heat transfer, desalination processes, pollutant biodegradability, and material science, contributing to sustainable development and innovative engineering practices. By applying these methods, researchers can enhance efficiency, optimize resource use, and tackle pressing environmental challenges. This integration of advanced computational tools into real-world applications represents a significant leap forward in addressing multidisciplinary engineering and scientific challenges. Expert Artificial Neural Network Applications for Science and Engineering provides a complete understanding of the ANNs for engineering practices. It discusses current developments in solving complicated engineering problems that cannot be solved using traditional methods. Covering topics such as industrial equipment reliability, manufacturing processes, and air quality forecasting, this book is an excellent resource for mechanical engineers, chemical engineers, civil engineers, electrical engineers, biomedical engineers, computer scientists, professionals, researchers, scholars, academicians, and more.