The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning. This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks - demonstrating how such case studies are designed, executed and how their results are obtained. The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
| Autorius: | Daniel Graupe |
| Leidėjas: | World Scientific |
| Išleidimo metai: | 2019 |
| Knygos puslapių skaičius: | 440 |
| ISBN-10: | 9811201226 |
| ISBN-13: | 9789811201226 |
| Formatas: | Knyga kietu viršeliu |
| Kalba: | Anglų |
| Žanras: | Neural networks and fuzzy systems |
Parašykite atsiliepimą apie „PRIN ART NEURAL NETWORK (4TH ED)“
