Artificial Neural Networks - Da Silva, Ivan Nunes

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Résumé :

IVAN NUNES DA SILVA was born in S?o Jos? do Rio Preto, Brazil, in 1967. He graduated in computer science and electrical engineering at the Federal University of Uberl?ndia, 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 S?o 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 S?o Paulo State University (UNESP), Brazil, in 2005. He received both M.Sc. and Ph.D. degrees in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2007 and 2009, respectively. Currently, he is a Senior Researcher at the University of S?o Paulo. His research interests are artificial neural networks, computation complexity, systems optimization and intelligent systems.

ROG?RIO 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 S?o Paulo State University (UNESP), Brazil, in 2001 and 2004, respectively. He received Ph.D. degree in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2007. Currently, he is an Associate Professor at the University of S?o Paulo. His research interests are artificial neural networks, computational intelligence, fuzzy inference systems and power systems.

SILAS FRANCO DOS REIS ALVES was born in Mar?lia, Brazil, in 1987. He graduated in information systems from the S?o 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 S?o Paulo (USP), Brazil, in 2011 and 2016, respectively. Currently, he is a Senior Researcher at the University of S?o 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 Sert?ozinho, Brazil, in 1986. She graduated in electrical engineering from the Polytechnic School of the University of S?o Paulo (USP), Brazil, in 2010. She received Ph.D. degree in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2016. Currently, she is a Senior Researcher at the University of S?o Paulo. Her research interests are artificial neural networks, intelligent systems,signal processing and nonlinear optimization.

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Biographie:
IVAN NUNES DA SILVA was born in S?o Jos? do Rio Preto, Brazil, in 1967. He graduated in computer science and electrical engineering at the Federal University of Uberl?ndia, 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 S?o 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 S?o Paulo State University (UNESP), Brazil, in 2005. He received both M.Sc. and Ph.D. degrees in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2007 and 2009, respectively. Currently, he is a Senior Researcher at the University of S?o Paulo. His research interests are artificial neural networks, computation complexity, systems optimization and intelligent systems. ROG?RIO 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 S?o Paulo State University (UNESP), Brazil, in 2001 and 2004, respectively. He received Ph.D. degree in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2007. Currently, he is an Associate Professor at the University of S?o Paulo. His research interests are artificial neural networks, computational intelligence, fuzzy inference systems and power systems. SILAS FRANCO DOS REIS ALVES was born in Mar?lia, Brazil, in 1987. He graduated in information systems from the S?o 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 S?o Paulo (USP), Brazil, in 2011 and 2016, respectively. Currently, he is a Senior Researcher at the University of S?o 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 Sert?ozinho, Brazil, in 1986. She graduated in electrical engineering from the Polytechnic School of the University of S?o Paulo (USP), Brazil, in 2010. She received Ph.D. degree in electrical engineering from the University of S?o Paulo (USP), Brazil, in 2016. Currently, she is a Senior Researcher at the University of S?o Paulo. Her research interests are artificial neural networks, intelligent systems,signal processing and nonlinear optimization....

Sommaire:
Introduction.- PART I - Neural Networks Architectures and Their Theoretical Aspects.- Architectures of Artificial Neural Networks and Training Processes.- Perceptron Network and Learning Rule.- Adaline Network and Delta Rule.- Multilayer Perceptron (MLP).- Radial Basis Function (RBF).- Recurrent Neural Topologies and Hopfield Network.- Self-Organizing Maps and Kohonen Network.- Learning Vector Quantization (LVQ) and Counter-Propagation Network.- Adaptive Resonance Theory (ART).- Part II - Artificial Neural Networks Applications in Problems of Engineering and Applied Sciences.- Coffee Global Quality Estimation Using Multilayer Perceptron.- Computer Network Traffic Analysis Using SNMP Protocol and LVQ Network.- Forecasting Stock Market Trends Using Recurrent Network.- System for Disease Diagnosis Using ART Network.- Adulterants Patterns Identification in Coffee Powder Using Self-Organizing Maps.- Disturbances Recognition Related to Electrical Power Quality Using PMC Network.- Mobile Robot Trajectory Control Using Fuzzy System and MLP Network.- Method to Tomatoes Classification Using Computer Vision and MLP Network.- Analysis of RBF and MLP Network Performance in Pattern Classification Problems.- Solving Constrained Optimization Problems Using Hopfield Network.- Conclusion.

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