Full Product Details
Author: Ivan Nunes da Silva ,
Danilo Hernane Spatti ,
Rogerio Andrade Flauzino ,
Luisa Helena Bartocci Liboni
Publisher: Springer International Publishing AG
Imprint: Springer International Publishing AG
Edition: 1st ed. 2017
Dimensions:
Width: 15.50cm
, Height: 1.90cm
, Length: 23.50cm
Weight: 6.151kg
ISBN: 9783319431611
ISBN 10: 3319431617
Pages: 307
Publication Date: 20 September 2016
Audience:
Professional and scholarly
,
Professional & Vocational
Format: Hardback
Publisher's Status: Active
Availability: Manufactured on demand
We will order this item for you from a manufactured on demand supplier.
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)
The book under review is quite unique, covering many important topics usually omitted from introductory courses on artificial neural networks, and as such it is a valuable reference. ... A major advantage of this volume is the interesting choice of examples used, most of which are not commonly considered in the artificial neural network literature. (Sandro Skansi, Mathematical Reviews, April, 2018) 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)
“The book under review is quite unique, covering many important topics usually omitted from introductory courses on artificial neural networks, and as such it is a valuable reference. … A major advantage of this volume is the interesting choice of examples used, most of which are not commonly considered in the artificial neural network literature.” (Sandro Skansi, Mathematical Reviews, April, 2018) “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)
Author Information
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.
