Hardcover: US $180
Special discount for
FREE shipping with DHL Express
Buy at: firstname.lastname@example.org
This book is indexed in
Share this page
Artificial Neural Networks - Industrial and Control Engineering Applications
Artificial neural networks may probably be the single most successful technology in the last two decades which has been widely used in a large variety of applications. The purpose of this book is to provide recent advances of artificial neural networks in industrial and control engineering applications. The book begins with a review of applications of artificial neural networks in textile industries. Particular applications in textile industries follow. Parts continue with applications in materials science and industry such as material identification, and estimation of material property and state, food industry such as meat, electric and power industry such as batteries and power systems, mechanical engineering such as engines and machines, and control and robotic engineering such as system control and identification, fault diagnosis systems, and robot manipulation. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks in industrial and control engineering areas. The target audience includes professors and students in engineering schools, and researchers and engineers in industries.
This book is indexed in ISI Web of Science's Book Citation Index (BKCI). BKCI is part of the Web of Science Core Collection (WoSCC) together with SCI Expanded, SSCI, AHCI and other databases.
Promote this Book
How to link?
Copy the following HTML and paste it in your blog post or your web page.
How to promote your work
After the publication processes is complete, the work of InTech's staff does not stop. We take all the necessary steps to promote your work across a number of relevant web locations. However, you can also help. Using the tools provided above, you can link your manuscript to your personal website or blog, the repository system of your university, send the link to your colleagues and fellow scientists, or share it on social networks.