Artificial neural networks : a practical course

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 im...

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Bibliographic Details
Main Authors: Silva, Ivan Nunes Da, (Author), Spatti, Danilo Hernane, (Author), Andrade Flauzino, Rogerio, (Author), Liboni, Luisa Helena Bartocci, (Author), Reis Alves, Silas Franco dos, (Author)
Format: eBook
Language: English
Published: Switzerland : Springer, [2016]
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ISBN: 9783319431628
9783319431611
Physical Description: 1 online resource (xx, 307 pages) : illustrations (some color)

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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.
Bibliography: Includes bibliographical references and index.
ISBN: 9783319431628
9783319431611
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