Computer and Information Science » Numerical Analysis and Scientific Computing

Artificial Neural Networks - Architectures and Applications

Edited by Kenji Suzuki, ISBN 978-953-51-0935-8, 256 pages, Publisher: InTech, Chapters published January 16, 2013 under CC BY 3.0 license
DOI: 10.5772/3409

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 architectures, methodologies, and applications of artificial neural networks. The book consists of two parts: the architecture part covers architectures, design, optimization, and analysis of artificial neural networks; the applications part covers applications of artificial neural networks in a wide range of areas including biomedical, industrial, physics, and financial applications. Thus, this book will be a fundamental source of recent advances and applications of artificial neural networks. The target audience of this book includes college and graduate students, and engineers in companies.

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.

InTech Badges

Become an ambassador of free knowledge and spread the word about InTech!

  • InTech
  • InTech