Artificial Neural Networks - Models and Applications
This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
Publication date: 19 Oct 2016
ISBN-10: n/a
ISBN-13: 9789535127048
Paperback: 412 pages
Views: 16,249
Type: Book
Publisher: InTech
License: Creative Commons Attribution 3.0 Unported
Post time: 27 Oct 2016 01:00:00
Artificial Neural Networks - Models and Applications
Joao Luis G. Rosa wrote:The idea of simulating the brain was the goal of many pioneering works in Artificial Intelligence. The brain has been seen as a neural network, or a set of nodes, or neurons, connected by communication lines. Currently, there has been increasing interest in the use of neural network models. This book contains chapters on basic concepts of artificial neural networks, recent connectionist architectures and several successful applications in various fields of knowledge, from assisted speech therapy to remote sensing of hydrological parameters, from fabric defect classification to application in civil engineering. This is a current book on Artificial Neural Networks and Applications, bringing recent advances in the area to the reader interested in this always-evolving machine learning technique.
About The Editor(s)
João Luís Garcia Rosa is an associate professor at the Department of Computer Science, University of São Paulo (USP) at Sao Carlos, Brazil, where he teaches disciplines such as Neural Networks, Brain-Computer Interfaces, and Artificial Intelligence. He has experience in computer science, with emphasis on artificial Intelligence, brain-computer interfaces, and biologically plausible artificial neural networks.
João Luís Garcia Rosa is an associate professor at the Department of Computer Science, University of São Paulo (USP) at Sao Carlos, Brazil, where he teaches disciplines such as Neural Networks, Brain-Computer Interfaces, and Artificial Intelligence. He has experience in computer science, with emphasis on artificial Intelligence, brain-computer interfaces, and biologically plausible artificial neural networks.