Description: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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Expert Artificial Neural Network Applications for Science and Engineering. To get started finding Expert Artificial Neural Network Applications for Science and Engineering, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
Pages
544
Format
PDF, EPUB & Kindle Edition
Publisher
IGI Global
Release
2025
ISBN
9781787566873
Expert Artificial Neural Network Applications for Science and Engineering
Description: 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.We have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Expert Artificial Neural Network Applications for Science and Engineering. To get started finding Expert Artificial Neural Network Applications for Science and Engineering, you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.