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 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.
| Autor: | Andrade Flauzino, Rogerio Hernane Spatti, Danilo Liboni, Luisa Helena Bartocci da Silva, Ivan Nunes dos Reis Alves, Silas Franco |
|---|---|
| ISBN: | 9783319431611 |
| Sprache: | Englisch |
| Seitenzahl: | 307 |
| Produktart: | Gebunden |
| Verlag: | Springer International Publishing |
| Veröffentlicht: | 20.09.2016 |
| Untertitel: | A Practical Course |
| Schlagworte: | Adaline Network Adaptive Resonance Theory (ART) Architectures of Artificial Neural Networks Artificial Neural Networks Applications Computer Network Traffic Analysis Learning Vector Quantization (LVQ) Neural Networks Architectures Perceptron Network Self-Organizing Maps |
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