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Description
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.
Spécifications
Parties prenantes
- Auteur(s) :
- Editeur:
Contenu
- Nombre de pages :
- 440
- Langue:
- Anglais
- Collection :
- Tome:
- n° 8
Caractéristiques
- EAN:
- 9789811201226
- Date de parution :
- 28-03-19
- Format:
- Livre relié
- Format numérique:
- Genaaid
- Dimensions :
- 170 mm x 244 mm
- Poids :
- 898 g
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