Artificial Neural Networks. [electronic resource] : A Practical Course.
Autor: | da Silva, Ivan Nunes, author |
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Další autoři: |
Hernane Spatti, Danilo, author
Andrade Flauzino, Rogerio, author
Liboni, Luisa Helena Bartocci, author
dos Reis Alves, Silas Franco, author
|
Jazyk: | angličtina |
Informace o vydání: | Cham : Springer International Publishing : Imprint: Springer, 2017. |
Předmět: |
Engineering
Data mining Pattern recognition Neural networks (Computer science) Computational intelligence Electrical engineering Communications Engineering Networks Computational Intelligence Mathematical Models of Cognitive Processes and Neural Networks Data Mining and Knowledge Discovery Pattern Recognition |
Druh dokumentu: | Electronic; Non-fiction |
Abstrakt: | Summary: 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. |
Databáze: | Vybrané kolekce e-knih |
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