Artificial Neural Networks - A Practical Course (Paperback, Softcover reprint of the original 1st ed. 2017)

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.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	June 2018
First published:	2017
Authors:	Ivan Nunes Da Silva • Danilo Hernane Spatti • Rogerio Andrade Flauzino • Luisa Helena Bartocci Liboni • Silas Franco Dos Reis Alves
Dimensions:	235 x 155 x 18mm (L x W x T)
Format:	Paperback
Pages:	307
Edition:	Softcover reprint of the original 1st ed. 2017
ISBN-13:	978-3-319-82751-3
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Professional & Technical > Electronics & communications engineering > Communications engineering / telecommunications > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General Promotions
LSN:	3-319-82751-0
Barcode:	9783319827513

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