Artificial Neural Networks ― A Practical Course

This book provides comprehensive coverage of neural networks, their evolution, theirstructure, the problems they can solve, and their applications. The first halfof the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation invarious application scenarios. The second half is designed specifically for theproduction of solutions using artificial neural networks to solve practicalproblems arising from different areas of knowledge. It also describes thevarious implementation details that were taken into account to achieve thereported results. These aspects contribute to the maturation and improvement ofexperimental techniques to specify the neural network architecture that is mostappropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professional.

IVAN NUNES DA SILVA was born in Sao Jose do Rio Preto,Brazil, in 1967. He graduated in computer science and electrical engineering atthe Federal University of Uberlandia, Brazil, in 1991 and 1992, respectively.He received both M.Sc. and Ph.D. degrees in electrical engineering from theState University of Campinas (UNICAMP), Brazil, in 1995 and 1997, respectively.Currently, he is an Associate Professor at the University of Sao Paulo (USP).His research interests are within the fields of artificial neural networks,fuzzy inference systems, power system automation and robotics. He is alsoassociate editor of the International Journal on Power System Optimization andEditor-in-Chief of the Journal of Control, Automation and Electrical Systems.He has published more than 400 papers in congress proceedings, internationaljournals and book chapters.

DANILO HERNANE SPATTI was born in Araras, Brazil, in 1981.He graduated in electrical engineering from the Sao Paulo State University(UNESP), Brazil, in 2005. He received both M.Sc. and Ph.D. degrees inelectrical engineering from the University of Sao Paulo (USP), Brazil, in 2007and 2009, respectively. Currently, he is a Senior Researcher at the Universityof Sao Paulo. His research interests are artificial neural networks,computation complexity, systems optimization and intelligent systems.

ROGERIO ANDRADE FLAUZINO was born in Franca, Brazil, in1978. He graduated in electrical engineering and also received M.Sc. degree inelectrical engineering from the Sao Paulo State University (UNESP), Brazil, in2001 and 2004, respectively. He received Ph.D. degree in electrical engineeringfrom the University of Sao Paulo (USP), Brazil, in 2007. Currently, he is anAssociate Professor at the University of Sao Paulo. His research interests areartificial neural networks, computational intelligence, fuzzy inference systemsand power systems.

SILAS FRANCO DOS REIS ALVES was born in Marilia, Brazil, in1987. He graduated in information systems from the Sao Paulo State University(UNESP). He received M.Sc. degree in mechanical engineering from the StateUniversity of Campinas (UNICAMP) and Ph.D. degree in electrical engineeringfrom the University of Sao Paulo (USP), Brazil, in 2011 and 2016, respectively.Currently, he is a Senior Researcher at the University of Sao Paulo. Hisresearch interests are robotics, artificial neural networks, machine learning,intelligent systems, signal processing and nonlinear optimization.

LUISA HELENA BARTOCCI LIBONI was born in Sertaozinho,Brazil, in 1986. She graduated in electrical engineering from the PolytechnicSchool of the University of Sao Paulo (USP), Brazil, in 2010. She receivedPh.D. degree in electrical engineering from the University of Sao Paulo (USP),Brazil, in 2016. Currently, she is a Senior Researcher at the University of SaoPaulo. Her research interests are artificial neural networks, intelligentsystems, signal processing and nonlinear optimization.