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Artificial Neural Networks: A Practical Course

da Silva, Ivan Nunes Liboni, Luisa Helena Bartocci ; Andrade Flauzino, Rogerio ; Hernane Spatti, Danilo

Cham: Springer Nature 2016

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Título:
Artificial Neural Networks: A Practical Course
Autor: da Silva, Ivan Nunes
Liboni, Luisa Helena Bartocci ; Andrade Flauzino, Rogerio ; Hernane Spatti, Danilo
Assuntos: Applied physics ; Communications Engineering, Networks ; Computational Intelligence ; Data Mining and Knowledge Discovery ; Engineering ; Mathematical Models of Cognitive Processes and Neural Networks ; Neural networks (Computer science) ; Pattern Recognition
Descrição: This book provides comprehensive coverage of neural networks, their evolution, their structure, the problems they can solve, and their applications. The first half of the book looks at theoretical investigations on artificial neural networks and addresses the key architectures that are capable of implementation in various application scenarios. The second half is designed specifically for the production of solutions using artificial neural networks to solve practical problems arising from different areas of knowledge. It also describes the various implementation details that were taken into account to achieve the reported results. These aspects contribute to the maturation and improvement of experimental techniques to specify the neural network architecture that is most appropriate for a particular application scope. The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals.
Editor: Cham: Springer Nature
Data de criação/publicação: 2016
Formato: 309
Idioma: Inglês

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Artificial Neural Networks: A Practical Course

da Silva, Ivan Nunes Liboni, Luisa Helena Bartocci ; Andrade Flauzino, Rogerio ; Hernane Spatti, Danilo

Cham: Springer Nature 2016

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