Overview
- Explores several practical projects that exercise creativity and shows how to employ artificial neural networks in different application contexts
- Compiles over 100 fixation exercises that stimulate thinking and understanding in the issues addressed in the course of each subject
- Presents a detailed, step-by-step presentation of all algorithms that are used for both training phases of the neural architecture as for the operating phases
- Includes supplementary material: sn.pub/extras
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Table of contents (20 chapters)
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Architectures of Artificial Neural Networks and Their Theoretical Aspects
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Application of Artificial Neural Networks in Engineering and Applied Science Problems
Keywords
About this book
Reviews
“This book would be very good for advanced undergraduate students, first-year graduate students, or for anyone wishing to learn about neural networks on their own. It was originally published in Brazil in Portuguese. … The exercises thoroughly test the readers’ understanding of the descriptive material. The practical examples address the training and use of the architecture in the chapter.” (Anthony J. Duben, Computing Reviews, April, 2017)
Authors and Affiliations
About the authors
IVAN NUNES DA SILVA was born in São José do Rio Preto, Brazil, in 1967. He graduated in computer science and electrical engineering at the Federal University of Uberlândia, Brazil, in 1991 and 1992, respectively. He received both M.Sc. and Ph.D. degrees in electrical engineering from the State University of Campinas (UNICAMP), Brazil, in 1995 and 1997, respectively. Currently, he is an Associate Professor at the University of São Paulo (USP). His research interests are within the fields of artificial neural networks, fuzzy inference systems, power system automation and robotics. He is also associate editor of the International Journal on Power System Optimization and Editor-in-Chief of the Journal of Control, Automation and Electrical Systems. He has published more than 400 papers in congress proceedings, international journals and book chapters.
DANILO HERNANE SPATTI was born in Araras, Brazil, in 1981. He graduated in electrical engineering from the São Paulo State University (UNESP), Brazil, in 2005. He received both M.Sc. and Ph.D. degrees in electrical engineering from the University of São Paulo (USP), Brazil, in 2007 and 2009, respectively. Currently, he is a Senior Researcher at the University of São Paulo. His research interests are artificial neural networks, computation complexity, systems optimization and intelligent systems.
ROGÉRIO ANDRADE FLAUZINO was born in Franca, Brazil, in 1978. He graduated in electrical engineering and also received M.Sc. degree in electrical engineering from the São Paulo State University (UNESP), Brazil, in 2001 and 2004, respectively. He received Ph.D. degree in electrical engineering from the University of São Paulo (USP), Brazil, in 2007. Currently, he is an Associate Professor at the University of São Paulo. His research interests are artificial neural networks, computational intelligence, fuzzy inference systems and power systems.
SILAS FRANCO DOS REIS ALVES was born in Marília, Brazil, in 1987. He graduated in information systems from the São Paulo State University (UNESP). He received M.Sc. degree in mechanical engineering from the State University of Campinas (UNICAMP) and Ph.D. degree in electrical engineering from the University of São Paulo (USP), Brazil, in 2011 and 2016, respectively. Currently, he is a Senior Researcher at the University of São Paulo. His research interests are robotics, artificial neural networks, machine learning, intelligent systems, signal processing and nonlinear optimization.
LUISA HELENA BARTOCCI LIBONI was born in Sertãozinho, Brazil, in 1986. She graduated in electrical engineering from the Polytechnic School of the University of São Paulo (USP), Brazil, in 2010. She received Ph.D. degree in electrical engineering from the University of São Paulo (USP), Brazil, in 2016. Currently, she is a Senior Researcher at the University of São Paulo. Her research interests are artificial neural networks, intelligent systems,signal processing and nonlinear optimization.
Bibliographic Information
Book Title: Artificial Neural Networks
Book Subtitle: A Practical Course
Authors: Ivan Nunes da Silva, Danilo Hernane Spatti, Rogerio Andrade Flauzino, Luisa Helena Bartocci Liboni, Silas Franco dos Reis Alves
DOI: https://doi.org/10.1007/978-3-319-43162-8
Publisher: Springer Cham
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer International Publishing Switzerland 2017
Hardcover ISBN: 978-3-319-43161-1Published: 20 September 2016
Softcover ISBN: 978-3-319-82751-3Published: 14 June 2018
eBook ISBN: 978-3-319-43162-8Published: 24 August 2016
Edition Number: 1
Number of Pages: XX, 307
Number of Illustrations: 190 b/w illustrations, 13 illustrations in colour
Topics: Communications Engineering, Networks, Computational Intelligence, Mathematical Models of Cognitive Processes and Neural Networks, Data Mining and Knowledge Discovery, Pattern Recognition